Natural Language & Time Series Prediction 2014


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Natural Language & Time Series Prediction 2013 | Natural Language & Time Series Prediction 2015

[BOOK] Recent Advances on Hybrid Approaches for Designing Intelligent Systems O Castillo, P Melin, W Pedrycz, J Kacprzyk – 2014 – Springer … systems and natural language processing. In conclusion, the edited book comprises chapters on diverse aspects of bio- inspired models, soft computing and hybrid intelligent systems for control, mobile robotics, pattern recognition, time series prediction, and other complex real … Cited by 2 Related articles All 4 versions

Nonlinear time series forecasting with Bayesian neural networks O Kocada?l?, B A??kgil – Expert Systems with Applications, 2014 – Elsevier … The possibilistic uncertainty concept is first introduced by Zadeh (1965). According to Zadeh (1965), making decision about processes that show nonrandom uncertainty, such as the uncertainty in the natural language, has been demonstrated to be less than perfect. … Cited by 4 Related articles All 3 versions

Fuzzy rule-based ensemble for time series prediction: The application of linguistic associations mining M Stepnicka, L Stepnickova… – Fuzzy Systems (FUZZ- …, 2014 – … I. INTRODUCTION TIME SERIES PREDICTION is an important tool for support of individual and organizational decision mak- ing. … These are expressions of natural language that are based on the expressions of the ba- sic trichotomy Small (Sm), Medium (Me), and Big (Bi). … Cited by 1 Related articles

Generation of suprasegmental information for speech using a recurrent neural network and binary gravitational search algorithm for feature selection M Sheikhan – Applied intelligence, 2014 – Springer … doi:10.1016/j.neucom.2009.07.014; Sheikhan M, Mohammadi N (2013) Time series prediction using PSO-optimized neural network and … 10.1007/BF02277194; Costa F, Frasconi P, Lombardo V, Soda G (2003) Towards incremental parsing of natural language using recursive … Cited by 2 Related articles All 4 versions

Monitoring web services’ quality of service: a literature review MH Hasan, J Jaafar, MF Hassan – Artificial Intelligence Review, 2014 – Springer … Every request written in natural language is processed by the model to produce sentence blocks. … simulations of a feedback control system for a non-linear plant using type-1 and type-2 fuzzy logic controllers, and a non-linear identification problem for time series prediction. … Cited by 2 Related articles All 3 versions

Grey system theory based prediction for topic trend on Internet X Wang, L Qi, C Chen, J Tang, M Jiang – Engineering Applications of …, 2014 – Elsevier Techniques extracting topics from dynamic Internet are relatively matured. However, people cannot accurately predict topic trend so far. Unfortunately, for pred. Cited by 1 Related articles All 2 versions

Evaluating and understanding text-based stock price prediction models EJ de Fortuny, T De Smedt, D Martens… – Information Processing & …, 2014 – Elsevier … text documents (Fayyad, Piatetsky-Shapiro, & Smyth, 1996), by combining techniques from data mining, machine learning, natural language processing (NLP … In time series prediction, an additional concern is that we cannot use any future information in the training phase of a … Cited by 3 Related articles All 4 versions

A general model for mutual ranking systems V Le Anh, HV Hoang, K Le Trung, H Le Trung… – … and Database Systems, 2014 – Springer … 2.2 for more detail). – Named entities: In Natural Language Processing (NLP) communities, named entity recognition is an important problem. Ranking scheme has been applied to solve the problem. Collins [11] proposes a ranking method based on a maximum-entropy tagger. … Cited by 2 Related articles

Encoding words into Cloud models from interval-valued data via fuzzy statistics and membership function fitting X Yang, L Yan, H Peng, X Gao – Knowledge-Based Systems, 2014 – Elsevier … 1]. CWW is “a methodology in which the objects of computation are words and propositions drawn from a natural language.” Inspired by the … successfully applied to many fields, such as data mining [13] and [16], uncertainty reasoning [17] and [18]; time series prediction [19] and … Cited by 6 Related articles All 3 versions

Deep neural networks for time series prediction with applications in ultra-short-term wind forecasting M Dalto – Rn (?1) – … and their potential for time series prediction with applications in ultra-short-term wind forecasting. Recently deep architectures have reported state-of-the- art performance across fields such as object recognition [25], speech recognition [2], natural language processing [15 … Related articles All 7 versions

Prediction based on hybrid method in complex event processing J Lang, Z Capik – … and Informatics (SAMI), 2014 IEEE 12th …, 2014 – … Easy interpretation in natural language, fairly accura- cy and easy assignment of the tree generating from the set of data makes this technique quite popular and frequently used. … [25] Carbajal, SG: Time Series Prediction Using Grammar-directed Genetic Programming Methods. … Related articles

Machine Learning and Artificial Intelligence N Ponet – 2014 – … This multidisciplinary field has links to statistics, signal processing, information theory and optimization. It also covers a wide range of applications such as biomedical data analysis, image and video analysis, time series prediction, graph mining, natural language processing, … …

A Model for Prediction of Annual Time series Using Bayesian Neural Networks Technique: Application to Bank Data SG Kordi, A Goodarzi, MB Menhaj, T Firoozan – … Recently, artificial neural networks have been widely studied by many researchers such networks have been used for time series prediction. … These networks have many applications in various fields such as machine learning, text mining, natural language processing, speech … Related articles

Bayesian analysis of time series using granular computing approach O Hryniewicz, K Kaczmarek – Applied Soft Computing, 2014 – Elsevier … methods for the time series analysis are proven successful in many practical applications, eg, [1], [2] and [3]. Nonetheless, the Bayesian time series analysis and probability theory are not meant to process directly the information described in natural language, and according to … Related articles

A Weight-Sharing Gaussian Process Model Using Web-Based Information for Audience Rating Prediction YY Huang, YA Yen, TW Ku, SD Lin, WT Hsieh… – … and Applications of …, 2014 – Springer … In the field of time series prediction, the input features usually come from co- varying time sequences and therefore are naturally grouped. … In: Proceedings of the IJCNLP 2013 Workshop on Natural Language Processing for Social Media (SocialNLP), pp. … Related articles All 4 versions

Linguistic Summarization of Europe Brent Spot Price Time Series Along with the Interpretations from the Perspective of Turkey H Hatipo?lu, FE Boran, M Avci… – International Journal of …, 2014 – Wiley Online Library … This estimation is crucial for planning the oil importation financing, and linguistic summarization with fuzzy sets provides sentences in natural language that is explicit for decision makers … Traditional time series prediction models can present good results in a linear case. … Related articles All 2 versions

Design Of Autonomous Algorithmic Models For Time Series Prediction E Zámecníková – Page 1. DESIGN OF AUTONOMOUS ALGORITHMIC MODELS FOR TIME SERIES PREDICTION … Facts can be documented as natural language sentences or as relationships, attributes, and generalization structures in a graphical model. … Related articles

Ontology-Based Information Extraction and Reservoir Computing for Topic Detection from Blogosphere’s Content: A Case Study About BBC Backstage M Arguello-Casteleiro, MJ Fernandez-Prieto – Research and Development …, 2014 – Springer … In: Proceedings of Empirical Methods in Natural Language Processing, pp. … Comput. Sci. Rev. 3, 127–149 (2009) 15. Wyffels, F., Schrauwen, B.: A comparative study of reservoir computing strategies for monthly time series prediction. Neurocomputing 73, 1958–1964 (2010) 16. … Related articles All 3 versions

A risk assessment method based on RBF artificial neural network-cloud model for urban water hazard D Liu, D Wang, J Wu, Y Wang, L Wang, X Zou… – Journal of Intelligent …, 2014 – IOS Press … 135 In the assessment modeling, the following assump- 136 tions should be made in order to generate the cloud 137 model [5]: 138 a) The quantitative level of events should be regard 139 as a natural language concept, which can be 140 mapped to a cloud; 141 a) The … Related articles All 3 versions

A model for biological motion detection based on motor prediction in the dorsal premotor area Y Kawai, M Asada, Y Nagai – 2014 – … biological motions. We input the PLD data to the RNN, which learned the time-series prediction of velocities in Experiment 1. The prediction errors were averaged over the walkers for each emotional state and body part. B. Result … Related articles All 4 versions

Comparison of Speed Control of DC Motor Using Fuzzy-PID and PSO-PID Technique A Kaushal, N Thakur, D Nagaria – … controllers have the following advantages over the conventional controllers that they are cheaper to develop, they cover a wide range of operating conditions, and they are more readily customizable in natural language terms … Network Models for Financial Time Series Prediction … Related articles All 2 versions

Language Modeling Using Augmented Echo State Networks A Rache?, MF Hagiwara – LANGUAGE, 2014 – … design matrix. Echo state networks have already shown promising performance on time series prediction tasks but have seldom been used in more abstract settings such as natural language modeling. However, the contracting … Related articles

Indian Stock Market Predictor System CH Vanipriya, KT Reddy – ICT and Critical Infrastructure: Proceedings of …, 2014 – Springer … become a hot topic of intensive study due to its successful application in classification and regression tasks, especially in time series prediction and financial … In [3], the authors employed natural language processing techniques and hand crafted dictionary to predict stock returns. … Related articles All 3 versions

Message Filtering Techniques for On-Line Social Networks: A Survey MV Alone, MRB Talmale – … 4.1 BAG-of-Words Model (BOW) The bag-of-words model is a simplifying representation used in natural language processing and … Radial basis function networks have many uses, including function approximation, time series prediction, classification, and system control. … Related articles All 2 versions

Data Mining Techniques For Researchers N Qasim, MQ Rind, MS Sheikh – 12th International Conference, 2014 – … to construct eight types of models aimed at solving business problems: classification, regression, time series, prediction, clustering, summarization … analysis, stock trend prediction, DNA sequence analysis, finding language or linguistic patterns from natural language texts, and … Related articles

[BOOK] Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings P Auer, A Clark, T Zeugmann, S Zilles – 2014 – … I will discuss challenges such as: how to trade off predictive performance and interpretability, how to translate complex statistical concepts into natural language text that is … 245 Andreas Maurer Generalization Bounds for Time Series Prediction with Non-stationary Processes … All 3 versions

Deep Recurrent Neural Networks for Time Series Prediction SC Prasad, P Prasad – arXiv preprint arXiv:1407.5949, 2014 – … seizure suppression electro-stimulator driven by automatic seizure prediction as such an application and to provide the context for a study of time-series prediction. … Time-series prediction has been addressed by Statistics, Dynamical Systems, Machine Learning, … Related articles All 2 versions

Trust prediction using Z-numbers and Artificial Neural Networks A Azadeh, R Kokabi, M Saberi… – … Systems (FUZZ-IEEE …, 2014 – … the reliability of information and has two components Z= (A, B). The variable A is a fuzzy subset of the domain, and the variable B captures the degree of reliability or certainty of A. The variable B could be perception-based and can be described in a natural language such as … Related articles

An Efficient Approach for Subspace Clustering By Using Cat Seeker G Rajasekar, T Aravind – … Economic Science: particularly market investigation. • Natural language processing: linguistic analysis, parsing, learning languages, hyphenation patterns. … Optimization: configuration of telephone connections, VLSI design, time series prediction, scheduling algorithms. … Related articles All 2 versions

Regression-Based Microblogging Influence Detection Framework for Stock Market N Zhu, Y Wang, C Cheng, W Xu… – Journal of …, 2014 – … 9, pp. 155- 161, 1997. [26] J. Li, M. Sun. “Experimental study on sentiment classifica- tion of Chinese review using machine learning tech- niques,” in Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Confer- ence on. IEEE, 2007, pp. … Related articles All 3 versions

Performance Analysis of Supervised Techniques for Review Spam Detection MA Badresiya, J Teraiya – International Journal of Advanced Networking & …, 2014 – … content-based image retrieval, text recognition, biometrics, speech recognition, speaker identification, benchmarking time-series prediction tests. … of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing, pp … Related articles All 3 versions

Generating interpretable Mamdani-type fuzzy rules using a neuro-fuzzy system based on radial basis functions DG Rodrigues, G Moura, C Jacinto… – … Systems (FUZZ-IEEE …, 2014 – … from the problem data, ie, they don’t explain the relationship between input and output variables in a natural language description. … A. Mackey-Glass Time-Series Prediction In order to evaluate the performance of our method, we have performed experiments using the Mackey … Related articles

Sleep Apnea Detection Based on Dynamic Neural Networks D Dmitry, G Olga, OG Berestneva – Knowledge-Based Software …, 2014 – Springer … However, there are papers that proves features of data extracted from data to perform time-series prediction may be strongly related to label (ie clas- sify) a time-series. … Lawrence, S., Giles, CL, Fong, S.: Natural language grammatical inference with recurrent neural networks. … Related articles

A System to Customize Content Based Messages Filtering for On-Line Social Networks MV Alone, MRB Talmale – 2014 – … categorization. This way they improve access to relevant products and information [1]. The assignment of natural language texts categorization is an important component in many information organization and management tasks. S … Related articles

Extracting MFCC And GTCC Features For Emotion Recognition From Audio Speech Signals – 2014 – … In the context of natural language processing (NLP), HMMs have been applied with great success to problems such as part-of-speech tagging and noun-phrase chunking. … For the regression estimation case, SVMs have been compared on benchmark time series prediction tests. … Related articles All 4 versions

Application of Type-2 Fuzzy Neural Networks RA Aliev, BG Guirimov – Type-2 Fuzzy Neural Networks and Their …, 2014 – Springer Page 1. Chapter 5 Application of Type-2 Fuzzy Neural Networks 5.1 Type-2 Fuzzy Neural Networks for Decision Making Fuzzy set theory is useful systematic theory when dealing with uncertainty and vagueness in human-originated information. … Related articles

Multi-Source Learning in a 3G Network Y Ersvik – 2014 – … Computational linguistics, or natural language processing, is a broad scientific re- search field that aims to find sophisticated methods to analyze the large and ever growing corpora of natural language – such as words and text in English, Norwegian and Portuguese, or any … Related articles All 4 versions

TopicMachine: Conversion Prediction in Search Advertising Using Latent Topic Models A Bulut – 2014 – … A search term also known as a search keyword is what a web user types in for querying a search engine. An advertisement keyword is what an advertiser uses for targeting search engine users. Keywords consist of tokens, each of which is a word of a natural language. … Related articles All 3 versions

Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information X Li, X Huang, X Deng, S Zhu – Neurocomputing, 2014 – Elsevier The interaction between stock price process and market news has been widely analyzed by investors on different markets. Previous works, however, focus either on. Related articles All 3 versions

Real time motion estimation using a neural architecture implemented on GPUs J Garcia-Rodriguez, S Orts-Escolano… – Journal of Real-Time …, 2014 – Springer Logo Springer. Search Options: … Cited by 3 Related articles All 2 versions

Properties and Data-driven Design of Perceptual Reasoning Method Based Linguistic Dynamic Systems C Li, G Zhang, H Wang, W Ren – Acta Automatica Sinica, 2014 – … 1004.2014.02221 In complex systems, problems are usually described and analyzed using natural language. Humans are used to rea- soning and calculating on the basis of the premises ex- pressed in natural language. In … Cited by 1 Related articles

Soft Computing Techniques and its Impact in Data Mining YK Mathur, A Nand – … This includes emerging topics like data mining, Knowledge engineering, natural language processing, Computational intelligence, E-commerce, Bioinformatics and Cognitive computing. … Time series prediction has been attempted by Lee and Liu. … Related articles

Artificial Bee Colony-based Support Vector Machines with Feature Selection and Parameters Optimization for Rule Extraction CH Huang – 2014 – … Semantic role labeling via tree kernel joint inference,” in Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006 … T., Suykens, JA, Baestaens, D.-E., Lambrechts, A., Lanckriet, G., Vandaele, B., et al., “Financial time series prediction using least … Related articles All 2 versions

Portfolio Optimizer Tool (POT) Based on Trend Market Analysis and News Sentiment Analysis R Al-jomai – 2014 – … Page 20. The number of proposed methods in financial time series prediction is tremendously large. … In addition, summaries, conclusions and inferences can be made from text based on natural language processing and the semantic definition of a pattern between documents. … Related articles

Automatic Differentiation of Algorithms for Machine Learning AG Baydin, BA Pearlmutter – arXiv preprint arXiv:1404.7456, 2014 – … of gradients and Hessians of an objective function, with examples in artificial neural networks (ANNs), natural language processing, and … Examples include the application to linear regression and time-series prediction (Bengio, 2000) and support vector machines (Chapelle et al … Related articles All 4 versions

Induction and Learning Z Qin, Y Tang – Uncertainty Modeling for Data Mining, 2014 – Springer … For example, some complex hierarchical Bayesian generative models perform very well in complex problems such as natural language understanding[10,11], question-answering[12 … (1) Function approximation (or regression analysis); (2) Time series prediction; (3) Classification … Related articles

Feature Selection Based On Compactness And Separability: Comparison With Filter?Based Methods CH Chen – Computational Intelligence, 2014 – Wiley Online Library … The literature describes many filter-based methods for pattern recognition (Nguyen and Torre, 2010), text processing (Kobdani et al. 2010), image representation (Mohand et al. 2010) and time series prediction (Crone and Kourentzes, 2010). … Cited by 2 Related articles All 2 versions

Empirical evaluation of an automated intraday stock recommendation system incorporating both market data and textual news T Geva, J Zahavi – Decision Support Systems, 2014 – Elsevier In this study we evaluate the effectiveness of augmenting numerical market data with textual-news data, using data mining methods, for forecasting stock returns. Cited by 3 Related articles All 3 versions

Gantry And Bridge Cranes Neuro-Fuzzy Control By Using Neural-Like Structures Of Geometric Transformations … I VERBENKO, R TKACHENKO – … Abstract Fuzzy logic is based on the use of natural language such as ‘far or close’, ‘cold or hot’ and etc. … mode and provided an effective solution for a wide range of problems such as classification with and without the supervisor modes, the time series prediction and forecasting … Related articles All 2 versions

Investigating artificial neural networks training methodologies for optimal generalisation. S Leblanc – … use symbols and abstractions; • communicate using natural language; • learn from the environment; and … While “in other areas, such as learning, vision, robotics, and natural language understanding” efficient research enables a rapid improvement of capabilities. … Related articles All 2 versions

Semi-supervised learning for multi-target regression J Levatic, M Ceci, D Kocev, S Dzeroski – Page 1. Semi-supervised learning for multi-target regression Jurica Levatic1,2, Michelangelo Ceci3, Dragi Kocev1, and Sašo Dzeroski1,2 1 Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia … Related articles

Novel Biologically Inspired Approaches to Extracting Online Information from Temporal Data ZK Malik, A Hussain, J Wu – Cognitive Computation, 2014 – Springer … reinforcement learning (RL). Apart from the echo state network, effectiveness in the motor controller, dynamic time series prediction and memorizing musical sequences, the authors in [27] have used ESN on a natural language task and … Related articles

Conditional Log-linear Models for Mobile Application Usage Prediction J Kim, T Mielikäinen – Machine Learning and Knowledge Discovery in …, 2014 – Springer … In both cases, unknown variables and observations are organized in a sequence. Sequence labeling (eg, part-of-speech tagging in natural language processing) involves predicting all unknown labels at the same time. … interpreted the problem as time-series prediction Page 4. … Related articles

A Bayesian encourages dropout S Maeda – arXiv preprint arXiv:1412.7003, 2014 – … has successfully shown its great learning abilities for vari- ous kind of tasks such as image recoginition, speech recognition or natural language processing. … For example, let us consider the family of time-series prediction model such as vector autoregression (VAR) model: … Related articles All 3 versions

Computational Intelligence in Weather Forecasting: A Review NO Bushara, A Abraham – Journal of Network and Innovative … – Page 1. Journal of Network and Innovative Computing ISSN 2160-2174, Volume 1 (2013) pp. 320-331 © MIR Labs, Dynamic Publishers, Inc., USA Computational Intelligence in Weather Forecasting: A Review … Related articles All 10 versions

High-level design space exploration of locally linear neuro-fuzzy models for embedded systems M Baharani, H Noori, M Aliasgari, Z Navabi – Fuzzy Sets and Systems, 2014 – Elsevier … Neuro-Fuzzy (NF) [1], [2], [3] and [4] systems are connectionist structures in a way that they combine natural language description of fuzzy interference systems and learning properties of neural networks [5]. The successes and capabilities of bio-inspired and soft computing … Related articles All 6 versions

Uncertainty modeling for data mining Z Qin, Y Tang – 2014 – Springer … Katia Sycara for hosting him at Robotics Institute, Carnegie Mellon University. This visit gave him more time to focus on this book and think more deeply about the relations between linguistic labels and natural language. … 238 10.2.1 Mackey-Glass Time Series Prediction . . . . . … Cited by 1 Related articles

User Activities Outliers Detection; Integration Of Statistical And Computational Intelligence Techniques S Mahmoud, A Lotfi… – Computational …, 2014 – Wiley Online Library … Also, in Akhlaghinia (2010), a fuzzy predictor model is used to build the prediction model and then the results are compared with the traditional time series prediction models such as ARMA, adaptive network-based fuzzy inference system and transductive neuro-fuzzy inference … Related articles

[BOOK] Uncertainty Modeling for Data Mining: A Label Semantics Approach Z Qin, Y Tang – 2014 – … Katia Sycara for hosting him at Robotics Institute, Carnegie Mellon University. This visit gave him more time to focus on this book and think more deeply about the relations between linguistic labels and natural language. … 238 10.2.1 Mackey-Glass Time Series Prediction . . . . . … Related articles All 3 versions

Predictive Analytics of Social Networks: A Survey of Tasks and Techniques M Yang, WH Hsu, ST Kallumadi – Emerging Methods in …, 2014 – … 1.1 Overview: Goals of Prediction In general, time series prediction aims to generate estimates for variables of interest that are associ- ated with … Later researchers explored the use of free text corpora–ie, collections of documents for natural language text in unrestricted form–in … All 2 versions

A Cognitive Model of Semantic Network Learning A Nematzadeh, A Fazly, S Stevenson – Page 1. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 244–254, October 25-29, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics A Cognitive Model of Semantic Network Learning … Related articles All 5 versions

State-based context prediction in mobile systems S Föll – 2014 – Page 1. State-based Context Prediction in Mobile Systems Von der Fakultät Informatik, Elektrotechnik und Informationstechnik der Universität Stuttgart zur Erlangung der Würde eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigte Abhandlung Vorgelegt von … Related articles All 4 versions

Non-monotonic Feature Selection for Regression H Yang, Z Xu, I King, MR Lyu – Neural Information Processing, 2014 – Springer … Feature selection has found applications in a number of real-world problems, such as data visualization, natural language processing, computer vision, speech processing … Yang, H., Huang, K., King, I., Lyu, MR: Localized support vector regression for time series prediction. … Related articles

JIDT: an information-theoretic toolkit for studying the dynamics of complex systems JT Lizier – arXiv preprint arXiv:1408.3270, 2014 – … Although they are deeply ingrained in the fabric of information theory, and heavily used in some areas (eg in natural language processing [95]), until recently [23, 45, 46, 77, 80, 96, 97] local information-theoretic measures were rarely applied to complex systems. … Cited by 11 Related articles All 6 versions

Modeling language with structured penalties AK Nelakanti – 2014 – … Page 3. ii Page 4. Abstract Modeling natural language is among fundamental challenges of artificial intelligence and the design of interactive machines. … Ce travail a été publié au congrès Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013. … Related articles All 6 versions

Fuzzy Methods and Approximate Reasoning in Geographical Information Systems S Senatore – … well. (iii) In the paper of M. Burda et al., an application of the so-called fuzzy GUHA method is presented for good peak prediction which was used in order to mine for fuzzy association rules expressed in natural language. The … Related articles

Towards a Decision Support System for Automated Selection of Optimal Neural Network Instance for Research and Engineering R Tav?ar, J Dedi?, D Bokal, A Žemva – ADVCOMP 2014, The Eighth …, 2014 – … Pattern Association (C5 1 ): Autoassociation (PASCAUT), Heteroassociation (PASCHET) • Pattern Recognition (C5 2 , PREC): Natural Language Pro- cessing … O. Castillo, and P. Melin, “Optimization of artificial neural network architectures for time series prediction using parallel … Related articles

A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition P Melin, O Castillo – Applied soft computing, 2014 – Elsevier … There have been a lot of applications of interval type-2 fuzzy logic in intelligent control, pattern recognition, time series prediction, and others [5], [14], [25] and [26]. However, in this paper we will concentrate on applications in clustering, classification and pattern recognition. … Cited by 9 Related articles All 2 versions

Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani… – arXiv preprint arXiv: …, 2014 – … Some ex- amples are feature extraction, time-series prediction, finance, medicine, meteorology, chemometrics, biology, neurology, natural language processing, speech recognition, computer vision or multimodal signal processing (Jolliffe, 2002). … Cited by 2 Related articles All 12 versions

[BOOK] Machine learning: an algorithmic perspective S Marsland – 2014 – … and Kamel Mekhnacha UTILITY-BASED LEARNING FROM DATA Craig Friedman and Sven Sandow HANDBOOK OF NATURAL LANGUAGE PROCESSING, SECOND … with the MLP 92 4.4.3 A Classification Example: The Iris Dataset 93 4.4.4 Time-Series Prediction 95 4.4.5 … Cited by 271 Related articles All 9 versions

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification F Charte, AJ Rivera, MJ Del Jesus, F Herrera – 2014 – … High dimensionality is present in data used every day and establishes an important obstacle in many areas, among them information retrieval [2], natural language processing [3], and machine learning [4]. The problem of high dimensionality in classification tasks is well studied. … Related articles All 4 versions

A Cognitive Adopted Framework for IoT Big-Data Management and Knowledge Discovery Prospective N Mishra, CC Lin, HT Chang – International Journal of Distributed …, 2014 – … An IoT knowledge base framework inherits the features of natural language processing model, conceptual dependency model, logical inference model, and predicates model to construct a knowledge base information system (KBIS). … Related articles All 4 versions

Three-cornered coevolution learning classifier systems for classification S Marzukhi – 2014 – Page 1. THREE-CORNERED COEVOLUTION LEARNING CLASSIFIER SYSTEMS FOR CLASSIFICATION by Syahaneim Marzukhi A thesis submitted to the Victoria University of Wellington in fulfilment of the requirements for the degree of Doctor of Philosophy … Related articles All 3 versions

Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration O Kisi, M Zounemat-Kermani – Water resources management, 2014 – Springer … variables. Their rule-based nature allows for the use of information expressed in the form of natural language statements (linguistic terms), which consequently makes the model transparent for interpretation and anal- ysis. The … Cited by 1 Related articles All 8 versions

Acoustic Event Classification Using Deep Neural Networks O Gencoglu – 2014 – … performance. DBNs have been recently used in several applications such as image classification [8, 9, 11], natural language processing [39], feature learning [19], dimensionality reduction [47] etc. and gave promising results. … Related articles All 3 versions

Example-based feedback provision using structured solution spaces S Gross, B Mokbel, B Paassen, B Hammer… – International Journal of …, 2014 – Inderscience … Tree kernels are well-established, eg, for syntax trees in computer linguistics. For instance, to compare a pair of solutions consisting of English text, natural language processing (NLP) techniques can derive trees or graphs from the syntax (Moschitti et al., 2008). … Related articles All 2 versions

Utility-based Allocation of Resources to Virtual Machines in Cloud Computing D Minarolli – 2014 – Page 1. Utility-based Allocation of Resources to Virtual Machines in Cloud Computing Dissertation zur Erlangung des Doktorgrades der Naturwissenschaften (Dr. rer. nat.) dem Fachbereich Mathematik und Informatik der Philipps-Universität Marburg vorgelegt von … Related articles All 2 versions

Probabilistic Modelling of Multiresolution Biological Data PR Adhikari – 2014 – Page 1. %FQBSUNFOU PG *OGPSNBUJPO BOE $PNQVUFS 4DJFODF ,) #&#-.# ? ) &&#(!?)? /&.#, -)&/.#)(? #)&)!# &? . ? 1SFN 3BK “EIJLBSJ %0$503″- %*44&35″5*0/4 , ‘? $? ” #% ,#? ,) #&#-.# ? ) &&#(!?) ? /&.#, -) &/.#) (? #) &) !# &? . ? ” B MUP 6 OJWF ST JUZ Page 2. … All 2 versions

Draft: Deep Learning in Neural Networks: An Overview J Schmidhuber – 2014 – … Sec. 5.5.1), are used to optimize objective functions of both UL and SL, and the boundary between SL and UL may blur, for example, when it comes to time series prediction and sequence classification, eg, Sec. 5.10, 5.12. A … Related articles All 2 versions

Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems D Leite, R Palhares, V Campos, F Gomide – 2014 – … values over time periods [28]. In general, inaccurate measurements and perception-based information are granular by the very nature of the measuring instruments and subjectivity of the natural language. Fuzzy set theory, as … Related articles

[BOOK] Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings CK Loo, YK Siah, KKW Wong, ATB Jin, K Huang – 2014 – Page 1. Chu Kiong Loo Keem Siah Yap Kok Wai Wong Andrew Teoh Kaizhu Huang (Eds.) Neural Information Processing 21st International Conference, ICONIP 2014 Kuching, Malaysia, November 3–6, 2014 Proceedings, Part II 123 Page 2. … Related articles All 8 versions

Rough Sets in Economy and Finance. M Podsiadlo, H Rybinski – T. Rough Sets, 2014 – … theory (Dubois and Prade [41]). • The rough sets model is able to consider both quantitative and qualitative attributes. • It is possible to generate decision rules using natural language (if then rules). • The model is able to remove … Cited by 1

Application of learning algorithms to traffic management in integrated services networks WG Hall – … 64 4.1.2 Flow control 64 Page 9. TABLE OF CONTENTS VI 4.1.3 Dynamic Resource Allocation 64 4.2 Time Series Prediction 65 4.3 Performance Measures 65 4.3.1 Statistical Properties 66 4.3.2 Mean Squared Error 66 4.3.3 Coefficient of Determination 67 … Related articles All 2 versions

An automatic sleep apnea analysis with soft computing approaches Y Maali – 2014 – Page 1. An Automatic Sleep Apnea Analysis with Soft Computing Approaches By Yashar Maali Submitted in partial fulfilment of the requirements for the Doctor of Philosophy Faculty of Engineering and Information Technology UNIVERSITY OF TECHNOLOGY, SYDNEY … Related articles

Document analysis by means of data mining techniques S Jabeen – 2014 – … 7 Page 18. CHAPTER 2. DOCUMENT COLLECTION ANALYSIS 8 Figure 2.1: Text Mining as a multi-disciplinary field mining, statistics, machine learning and natural language processing or com- putational linguistics as depicted in figure-2.1. … Related articles All 2 versions

Technology-Enhanced Laboratory Experiments in Learning and Teaching F Alam, RG Hadgraft, A Subic – Using Technology Tools to …, 2014 – Page 315. 289 Chapter 21 Technology-Enhanced Laboratory Experiments in Learning and Teaching Firoz Alam RMIT University, Australia Roger G. Hadgraft RMIT University, Australia Aleksandar Subic RMIT University, Australia … Cited by 2 Related articles All 2 versions