Natural Language & Time Series Prediction 2013


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[BOOK] Genetic Programming Theory and Practice X R Riolo, E Vladislavleva, JH Moore – 2013 – Springer … with Adaptive Tarpeian Bloat Control 77 Riccardo Poli, Mathew Salvaris, and Caterina Cinel 6 Improved Time Series Prediction and Symbolic … field aimed to understand human intelligence, but it quickly con- verged (and stagnated) to the natural language processing problems … Cited by 28 Related articles All 12 versions

Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations M Št?pni?ka, P Cortez, JP Donate… – Expert Systems with …, 2013 – Elsevier Accurate time series forecasting is a key issue to support individual and organizational decision making. In this paper, we introduce novel methods for multi-st. Cited by 11 Related articles All 6 versions

Predicting the total suspended solids in wastewater: a data-mining approach A Verma, X Wei, A Kusiak – Engineering Applications of Artificial …, 2013 – Elsevier … Then, we used five data-mining algorithms, ie, multi-layered perceptron, k-nearest neighbor, multi-variate adaptive regression spline, support vector machine, and random forest, to construct day-ahead, time-series prediction models for TSS. … Cited by 7 Related articles All 6 versions

Time Series Model for Bankruptcy Prediction via Adaptive Neuro-Fuzzy Inference System N Arora, JR Saini – International Journal of Hybrid Information Technology, 2013 – sersc.org … The rule-based nature of fuzzy models allows better use of information expressed in the form of natural language statement and … for the proposed model consisting of preprocessing of financial data using the famous Altman’s Z-score calculation and time series prediction. … Cited by 3 Related articles All 3 versions

Prediction of movement direction in crude oil prices based on semi-supervised learning H Shin, T Hou, K Park, CK Park, S Choi – Decision Support Systems, 2013 – Elsevier … Section 3 presents the proposed SSL model for time series prediction. … 3. Proposed method. To apply the graph-based SSL to time series prediction, we propose a method of graph representation for time series data, and a procedure for obtaining predicted values from the graph. … Cited by 5 Related articles All 4 versions

Estimating the time between twitter messages and future events A Hürriyetoglu, FA Kunneman, APJ van den Bosch – 2013 – mobile.repository.ubn.ru.nl … The availability of massive amounts of time-stamped texts is an invitation to incorporate time series analysis methods into the natural language process- ing toolbox. … Before t = ?100 the time series prediction is performing rather well, with RMSE values averaging 23 hours. … Cited by 4 Related articles All 8 versions

Stock price prediction based on a complex interrelation network of economic factors K Park, H Shin – Engineering Applications of Artificial Intelligence, 2013 – Elsevier … 3. Proposed method. To apply the graph-based SSL to time series prediction, we design a method of graph representation for time series data, and a procedure for obtaining predicted values from the graph. … 4. Graph SSL representation for time series prediction. … Cited by 6 Related articles All 4 versions

Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages A Culotta – Language resources and evaluation, 2013 – Springer … While there are many well-known time-series prediction techniques that incorporate previous time steps into the regression model, we … well, in future work we plan to investigate methods to improve its accuracy using more sophisticated natural language processing approaches … Cited by 15 Related articles All 10 versions

A Neural Network Model for Phoneme Generation M Crisan – Applied Mechanics and Materials, 2013 – Trans Tech Publ … The construction of a model of natural language processing able to account for both speech synthesis and recognition poses an … Apparently, good results were obtained in time series prediction or generation using feedforward neural networks in which the next input vector is … Cited by 1 Related articles

The combination Prediction of BTP in Sintering Process based on Bayesian Framework and LS-SVM S Qiang, W Ai-min, Z Yun-su – TELKOMNIKA Indonesian Journal of …, 2013 – iaesjournal.com Page 1. TELKOMNIKA, Vol. 11, No. 8, August 2013, pp. 4616~4626 e-ISSN: 2087-278X ? 4616 Received January 16, 2013; Revised May 18, 2013; Accepted May 29, 2013 The Combination Prediction of BTP in Sintering Process based on Bayesian Framework and LS-SVM … Cited by 2 Related articles All 2 versions

Empirical analysis: stock market prediction via extreme learning machine X Li, H Xie, R Wang, Y Cai, J Cao, F Wang… – Neural Computing and …, 2013 – Springer Page 1. EXTREME LEARNING MACHINE AND APPLICATIONS Empirical analysis: stock market prediction via extreme learning machine Xiaodong Li • Haoran Xie • Ran Wang • Yi Cai • Jingjing Cao • Feng Wang • Huaqing Min • Xiaotie Deng … Cited by 1 Related articles

Comparative study of authorship identification techniques for cyber forensics analysis S Nirkhi, RV Dharaskar – arXiv preprint arXiv:1401.6118, 2013 – arxiv.org … has become a forthcoming research area as it is confluence of various research areas like machine learning, information Retrieval and Natural Language Processing. … Radial basis function networks are used for function approximation, time series prediction, and system control. … Cited by 2 Related articles All 13 versions

Neural Network Approaches for Noisy Language Modeling J Li, K Ouazzane, HB Kazemian, MS Afzal – 2013 – ieeexplore.ieee.org … Although some researches are carried out in the language modeling field related to noise using statistics and natural language processing (eg, spell checker … B. FTDNN Language Modeling 1) FTDNN and n-Gram Prediction: FTDNN is suitable for time-series prediction. … Cited by 1 Related articles All 4 versions

Substitution of G. 728 vocoder’s codebook search module with SOM array trained by PSO-optimized supervised algorithm M Sheikhan, S Garoucy – Neural Computing and Applications, 2013 – Springer … networks (ANNs) have been used extensively and successfully for a variety of applications in speech and language technology (eg, in automatic speech recognition (ASR) [ 5 – 7 ], speech synthesis [ 8 , 9 ], emotion recognition [ 10 – 12 ] and natural language processing (NLP … Cited by 2 Related articles All 5 versions

Stock Market Time-series Prediction Based on Weibo Search and SVM Z Sheng-chen, SHI Xun-zhi, QU Wen-ting… – Computer and …, 2013 – en.cnki.com.cn … Xi’an 710075,PRChina;Navy Aviation Engineering College3,Yantai 264001,PRChina);Stock Market Time Series Prediction Method Based … Guo-dong(School of Computer Science and Technology,Soochow University,Suzhou 215006,China)(Natural Language Processing Lab … Related articles

Economic Prediction using Heterogeneous Data Streams from the World Wide Web A Levenberg, E Simpson, S Roberts, G Gottlob – ecmlpkdd2013.org … 2.1 Time Series Prediction … In general the framework of these papers is to obtain natural language text from the Web, such as news stories, message board data, Twitter feeds, etc., and to use language specific features, often sentiment based, to train a classification algorithm to … Related articles All 2 versions

Modeling Time-Series of Stock Price by Stochastic Context-Free Grammars DV Voloshyn – taac.org.ua … 72 Page 5. via SCFG formalism in other domains such as natural language processing, speech recognition or bioinformatics. … It can be used for informational patterns recognition in time-series and, thus, to time-series prediction. Conclusion … Related articles All 2 versions

Fuzzy rule-based ensemble with use of linguistic associations mining for time series prediction LŠMŠD Sikora – 2013 – atlantis-press.com … 1.1. Introduction Time series prediction is an important tool for sup- port of individual and organizational decision mak- ing. … These are expressions of natural language that are based on the expressions of the basic trichotomy Small (Sm), Medium (Me), and Big (Bi). … Related articles

Web-Based time series fuzzy modeling for the analysis of enterprise economics IG Perfilieva, NG Yarushkina… – … Systems: Problems of …, 2013 – researchgate.net … One solution to this problem is to use a procedure of analysis and time series prediction of key enterprise indicators that can generate the results in linguistic terms that are understandable to any manager. … 3) and are explained in natural language as recommendations (see Figs … Related articles

Grammar based feature generation for time-series prediction AM De Silva, F Noorian – 2013 – ee.usyd.edu.au … TIME-SERIES PREDICTION A thesis submitted in fulfilment of the requirements for the degree of Master of Philosophy in the School of Electrical and Information Engineering at the University of Sydney Anthony Mihirana de Silva November 2013 … 7 2.1 Time-series Prediction . . . … Related articles All 9 versions

On modelling with words V Novák – International Journal of General Systems, 2013 – Taylor & Francis … View all references). This is a methodology in which the objects of computation are words, perceptions, and propositions drawn from a natural language. … Evaluative expressions occur also in various kinds of conditional clauses of natural language. … Cited by 1 Related articles All 2 versions

A new method for short multivariate fuzzy time series based on genetic algorithm and fuzzy clustering KS Selim, GA Elanany – Advances in Fuzzy Systems, 2013 – dl.acm.org … 2. The Basic Concepts of Fuzzy Time Series and Its Models Fuzzy set theory provides a powerful framework to cope with vague or ambiguous problems and can express lin- guistic values and human subjective judgments of natural language. … Related articles All 4 versions

Estimation of Possible Profit/Loss of a New Movie Using “Natural Grouping” of Movie Genres D Barman, N Chowdhury – International Journal of Information …, 2013 – mecs-press.org … Many artificial neural network based methods have been used to design for successful Stock Market Prediction [31], Weather Prediction [32] , Image Processing [33], and Time Series Prediction [1], and Temperature Prediction system [2] etc. … Related articles All 3 versions

Law, Architecture, Gameplay, and Marketing PJ Wasilko – Digital Rights Management: Concepts, Methodologies, …, 2013 – igi-global.com This chapter introduces readers to a broad range of legal issues relevant to game designers and developers touching such topics as intellectual property. Related articles All 2 versions

Prediction of Possible Business of a Newly Launched Film using Ordinal Values of Film-genres D Barman, RK Singha, N Chowdhury – International Journal of …, 2013 – mecs-press.org … [11] Time Series Prediction and Neural Networks RJFrank, N.Davey, SPHunt Department of Computer Science, University of Hertfordshire, Hatfield, UK. … His fields of research include Pattern Recognition, Soft Computing, Natural Language Processing and Bioinformatics. Related articles All 3 versions

Prediction of Foreign Currency Exchange Rates Using CGPANN D Nayab, GM Khan, SA Mahmud – Engineering Applications of Neural …, 2013 – Springer … MAPE is generally considered as an international standard for determining the performance of a time series prediction based algorithm and the fitness or accuracy is … [9] Poli, R.: Parallel Distributed Genetic Programming Applied to the Evolution of Natural Language Recognisers … Cited by 1 Related articles

Long-memory time series ensembles for concept shift detection M Mendoza, B Poblete, F Bravo-Marquez… – Proceedings of the 2nd …, 2013 – dl.acm.org Page 1. Long-memory Time Series Ensembles for Concept Shift Detection Marcelo Mendoza Department of Informatics Universidad Técnica Federico Santa María Santiago, Chile marcelo.mendoza@usm.cl Felipe Bravo-Marquez … Related articles All 4 versions

Prediction of influenza rates by particle filtering P Closas, MF Bugallo, E Coma… – Acoustics, Speech and …, 2013 – ieeexplore.ieee.org … Computer simulations reveal promising results of the proposed method. Index Terms— Time series prediction, nonlinear sys- tems, particle filtering, influenza. 1. INTRODUCTION … of the 2011 Conference on Empirical Methods in Natural Language Processing. … Related articles

Automated stock price prediction and trading framework for Nifty intraday trading AA Bhat, SS Kamath – 2013 Fourth International Conference on …, 2013 – computer.org … Sentiment Analysis is a Natural Language Processing (NLP) approach that deals with classification of sentiments of written text/articles/blogs etc. … value of the paths stops changing significantly or the number of given epochs are reached [6]. Time series prediction was also done …

Expert Systems in Real world Business TG Krishna, MA Abdelhadi, M Subramanyam – International Journal, 2013 – ijarcsms.com … programming, case-based reasoning, neural networks, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc. … approximation, or regression analysis, including time series prediction and modeling. … Related articles

A Fuzzy Statistical Expert System for Cash Flow Analysis and Management under Uncertainty AAA Rostamy, V Baghaei, FB Takanlou, AA Rostamy – 2013 – hrpub.org … Abstract We live in the world of ambiguity and uncertainty. In such a fuzzy world, using tools that are close to natural language and have the ability to conclude like human mind, and even deal with more data and complex relations are important. … Related articles

Phoneme Generation with Elman-type Neural Networks M Crisan – … Winter International Conference on Engineering and …, 2013 – atlantis-press.com … An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Second Edition, Pearson Prentice Hall, 2008. … 97–111. [15] RJFrank, N.Davey and SPHunt: Time Series Prediction and Neural Networks. … Related articles All 2 versions

Mining linguistic associations for emergent flood prediction adjustment M Burda, P Rusnok, M Štšjni?ka – Advances in Fuzzy Systems, 2013 – dl.acm.org … Measured water flow rate data from a system for flood predictions were used in order to mine fuzzy association rules expressed in natural language. … 2.2. Linguistic Descriptions. Evaluative predications occur in conditional clauses of natural language of the form … Cited by 1 Related articles All 4 versions

Time Variant Change Analysis in Satellite Images R Sharma, SK Dubey – … Journal of Advanced Computer Science & …, 2013 – thesai.org … For problems such as speech recognition, image processing, natural language processing and decision-making, it is not normally possible to see a direct mapping of the given problem on to a … [6] ASWeigend and N.Gershenfeld, editors.Time series prediction: “forecasting the … Related articles All 6 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 …, 2013 – 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 2 versions

Mining effective multi-segment sliding window for pathogen incidence rate prediction L Duan, C Tang, X Li, G Dong, X Wang, J Zuo… – Data & Knowledge …, 2013 – Elsevier … our approach to solving PIRP is based on a recently developed evolutionary computation algorithm, named GEP (gene expression programming) [7]. The details of GEP will be given in Section 2. The main advantages of applying GEP to time series prediction include the … Cited by 1 Related articles All 7 versions

[BOOK] Emerging Technologies for Information Systems, Computing, and Management WE Wong, T Ma – 2013 – books.google.com … 693 Jingju Liu, Guozheng Yang and Huixian Chen 79 Salinity Time Series Prediction and Forecasting Using Dynamic Neural Networks in the Qiantang … Yanzhao Chen, Yiqi Zhou, Xiangli Cheng and Zheng Wang Syntactic Rules of Spatial Relations in Natural Language….. … All 2 versions

Economic Sentiment: Text-Based Prediction of Stock Price Movements with Machine Learning and WordNet ATG Hollum, BP Mosch, Z Szlávik – Recent Trends in Applied Artificial …, 2013 – Springer … We propose some possible explanations for this divergence. First, standard cross validation might be unfit for time series prediction since it breaks the causal relation between time points, producing artificially high scores. … Natural Language Engineering 1, 1–16 (2005) 13. … Cited by 1 Related articles All 3 versions

[BOOK] Handbook on Neural Information Processing M Bianchini, M Maggini, LC Jain – 2013 – Springer … 57 6 Applications….. 58 6.1 Natural Language Processing….. 58 6.2 Identification and Control of Dynamical Systems….. … 356 2.6 Chemistry and Biology….. 357 2.7 Time Series Prediction/Analysis….. 359 Page 17. … Cited by 1 Related articles All 4 versions

Improved method of electrical capacitance tomography based on SVM algorithm of choice and segmentation Y LI, X YUAN, J LIU, P LIU, J ZHENG… – Computer Engineering …, 2013 – en.cnki.com.cn … University of Technology,Dongguan 523808,China);Support Vector Machine and Its Application in Natural Language Processing[J … and Knowledge Engineering for Ministry of Education,Jilin University,Changchun 130012, China);Traffic Time Series Prediction Based on Periods …

New results on redundancies of fuzzy/linguistic IF-THEN rules LŠMŠA Dvo?ák – 2013 – atlantis-press.com … Because each rule in (5) is taken as a specific con- ditional sentence of natural language, a linguistic description can be understood … The weight of each method for each time series prediction was determined with help of a linguistic description using quantitative features3 of the … Related articles

Computational Intelligence Course in Undergraduate Computer Science and Engineering Curricula A Minaie, P Sanati-Mehrizy, A Sanati-Mehrizy… – asee.org … decision support, generic clustering and classification, consumer electronic devices, stock market and other time-series prediction, combinatorial optimization … Five topics were covered in this course which were searching, expert systems, natural language, neural networks, and … Related articles

Hierarchical neurofuzzy model for real-time flood forecasting S Rath, PC Nayak, C Chatterjee – International Journal of River …, 2013 – Taylor & Francis … Recurrent neural networks and robust time series prediction. … The rule-based nature of the fuzzy models allows their use of information expressed in the form of natural language statements, and makes the models transparent to interpretation and analysis. … Cited by 3 Related articles All 3 versions

Fuzzy based decision making for promotional marketing campaigns N Khan, F Khan – International Journal of Fuzzy Logic Systems (IJFLS), 2013 – airccse.org … Fuzzy logic is based on natural language. … Fuzzy logic emerged as an attractive tool for various applications ranging from decision analysis, time series prediction, finance [14], traffic control, automobile speed control, pattern recognition, robotics and earthquake detections etc. … Cited by 3 Related articles

Data Mining: Methods & Utilities EA Khadem, EF Nezhad, M Sharifi – sciencepub.net … It is necessary to make the discoveries more understandable to humans. Possible solutions include rule structuring, natural language representation, and the visualization of data and knowledge. … Time series prediction has been attempted by Lee and Liu [53]. … Related articles

Data chaos: An entropy based MapReduce framework for scalable learning J Chen, H Chen, X Chen, G Zheng… – Big Data, 2013 IEEE …, 2013 – ieeexplore.ieee.org … observations. The work of [10] adopts maximum entropy in text classification. Meanwhile, maximum entropy plays an important role in many real world data analysis applications especially in natural language processing [11]. However … Related articles

Knowledge-based Modeling of Multi-factor Processes in Biotechnology and Microbial Ecology. S VASSILEVA – WSEAS Transactions on Biology & Biomedicine, 2013 – wseas.org … The theory of fuzzy logic lies in the core of qualitative concept, where variables are natural language terms or sentences, known as linguistic variables its value expresses the quality … For time series prediction a hybrid neuro-fuzzy approach was implemented by anfis [58]. … Related articles All 2 versions

Gesture unit segmentation using support vector machines: segmenting gestures from rest positions RCB Madeo, CAM Lima, SM Peres – Proceedings of the 28th Annual …, 2013 – dl.acm.org … frequency domain features. Categories and Subject Descriptors I.5.4 [Pattern Recognition Applications]: Computer vi- sion; I.2.7 [Natural Language Processing]: Discourse General Terms Design, Experimentation Keywords Gesture … Cited by 4 Related articles

Association rule mining based video classifier with late acceptance hill climbing approach V Vijayakumar, R Nedunchezhian, A EZZAHOUT… – Journal of Theoretical …, 2013 – jatit.org … 48. No. 1 — 2013. Full Text. Title: AUTOMATIC GENERATION OF BPEL PROCESSES FROM NATURAL LANGUAGE REQUIREMENT. Author: DENG NA, LI DESHENG. … Nowadays, natural language is still the main description language of software requirement documents. … Cited by 1 Related articles All 3 versions

Small-Variance Asymptotics for Hidden Markov Models A Roychowdhury, K Jiang, B Kulis – Advances in Neural Information …, 2013 – papers.nips.cc … HMMs are one of the most widely used probabilistic models for discrete sequence data, with diverse applications including DNA sequence analysis, natural language processing and speech recognition [4]. The HMMs consist of a discrete hidden … Financial time-series prediction. … Cited by 1 Related articles All 3 versions

A granular neural network: Performance analysis and application to re-granulation S Dick, A Tappenden, C Badke, O Olarewaju – International Journal of …, 2013 – Elsevier … 11]; M. Nikravesh, Neuroscience and precisiated natural language-based search and question answering system: NeuSearch, in: Presented at the Proceedings of IEEE International Conference on Granular Computing, Beijing, China, 2005. … Cited by 5 Related articles All 3 versions

Cloud gravity center evaluation of watershed pollutants’ total emission reduction Y Tang, W Zhang, L Shao, J Fu, Y Xie… – Advances in Industrial …, 2013 – books.google.com … It is an uncertainty transformation theory which uses natural language to express the relationship between qualitative concept and quantitative data. … Agricultural Sciences in China, 6, pp: 654-659. 2002. [9] Jiang, R. et al. Time-series prediction with cloud models in DMKD. … Related articles All 2 versions

Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting H Badrzadeh, R Sarukkalige, AW Jayawardena – Journal of Hydrology, 2013 – Elsevier … The neuro-fuzzy modeling has the added advantage of both approaches, the natural language description of fuzzy systems and learning capability of neural network but has the drawback that learning is highly constrained and typically more complex than neural networks. … Cited by 2 Related articles All 5 versions

Comparing Performance of Different Neural Networks for Early Detection of Cancer from Benign Hyperplasia of Prostate M GHADERZADEH, R FEIN… – Applied Medical …, 2013 – ami.info.umfcluj.ro … RBF networks are very popular for function approximation, curve fitting, Time Series prediction, and control problems. … Natural Language Processing, 2009 SNLP’09 Eighth International Symposium on; 2009: IEEE. 8. Nazzal JM, El-Emary IM, Najim SA. … Related articles All 5 versions

Feature Selection Based On Compactness And Separability: Comparison With Filter-Based Methods CH Chen – Computational Intelligence, 2013 – 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

Using coarse information for real valued prediction A Dhurandhar – Data Mining and Knowledge Discovery, 2013 – Springer Page 1. Data Min Knowl Disc (2013) 27:167–192 DOI 10.1007/s10618-012-0287-5 Using coarse information for real valued prediction Amit Dhurandhar Received: 13 July 2011 / Accepted: 2 August 2012 / Published online: 14 August 2012 © The Author(s) 2012 … Related articles All 10 versions

Consideration of Climate Conditions in Reservoir Operation Using Fuzzy Inference System (FIS) HR Safavi, MA Alijanian… – British Journal of …, 2013 – sciencedomain.org … developed. According to Sugeno and Yasukawa [25], fuzzy-rule based modeling, which they called Fuzzy Inference System model, is a qualitative modeling scheme where system behavior is described using a natural language. … Cited by 1 Related articles All 5 versions

Regression models of trends Tools for Mining Non-stationary Data: functional prototype S Samangooei, V Lampos, T Cohn, N Gibbins… – 2013 – lampos.net … This includes evaluation on political and financial time-series prediction, based on the use cases identified in WP6 and WP7 and their data sets. … A great deal of Natural Language Processing research is based on the use of fixed lists of terms, formed automatically or manually. … Related articles

Evolving artificial neural network structure using grammar encoding and colonial competitive algorithm MT Mahmoudi, F Taghiyareh, N Forouzideh… – Neural Computing and …, 2013 – Springer … a set of rules that can be applied to produce a set of structures (eg, sentences in a natural language, programs in … networks, (2) applying the combinational algorithm into various applications such as classification and regression problems, time series prediction, feature selection … Cited by 3 Related articles All 4 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, 2013 – 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

Selective Prediction with Hidden Markov Models D Pidan – 2013 – cs.technion.ac.il … for training and inference. Since their introduction by Baum in the 60’s, HMMs have been extensively used in numerous applications such as speech recognition, information extraction, and natural language processing, to name a few. The literature pertaining to HMM-based … Related articles All 5 versions

Option Price Optimization R Mahato – 2013 – ritesh.virtualinit.net Page 1. Option Price Optimization Submitted in partial fulfillment of the requirements Of the degree of Bachelor of Technology In Computer Science and Engineering By Ritesh Mahato (97116) Under the guidance of Dr. SG Sanjeevi … Related articles

An extensible six-step methodology to automatically generate fuzzy DSSs for diagnostic applications A d’Acierno, M Esposito, G De Pietro – BMC bioinformatics, 2013 – biomedcentral.com … Moreover, Fuzzy Logic is quite close to natural language and allows presenting the results to clinicians in a more natural form. … Worthy results are described for case studies concerning non linear system identification, such as Makey-Glass chaotic time series prediction, and the … Related articles All 8 versions

Design, Analysis, Simulation, and Virtual-Reality-Verified Intelligent Controller for Industrial-Application SCARA Robot Y Al Mashhadany – 2013 – researchgate.net Page 1. 1 Design, Analysis, Simulation, and Virtual- Reality-Verified Intelligent Controller for Industrial-Application SCARA Robot Yousif Al Mashhadany (SMIEEE, MIIE) Electrical Engineering Department, Engineering College, University of Anbar, Baghdad, Iraq … Related articles

Training recurrent neural networks I Sutskever – 2013 – cs.utoronto.ca Page 1. TRAINING RECURRENT NEURAL NETWORKS by Ilya Sutskever A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Computer Science University of Toronto Copyright c 2013 by Ilya Sutskever Page 2. … Cited by 26 Related articles All 3 versions

A review on the applications of type-2 fuzzy logic in classification and pattern recognition P Melin, O Castillo – Expert Systems with Applications, 2013 – Elsevier … There have been a lot of applications of type-2 in intelligent control, pattern recognition, intelligent manufacturing, time series prediction, and others (Castillo and Melin, 2008, Karnik and Mendel, 1998, Melin and Castillo, 2005 and Melin, 2010). … Cited by 21 Related articles All 3 versions

On-the-Fly Tracing for Data-Centric Computing: Parallelization, Workflow and Applications L Jiang – 2013 – etd.lsu.edu Page 1. ON-THE-FLY TRACING FOR DATA-CENTRIC COMPUTING: PARALLELIZATION, WORKFLOW AND APPLICATIONS A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural … Related articles

Dependency Expansion Model for Sentiment Lexicon Extraction J Liang, J Tan, X Zhou, P Liu, L Guo… – Web Intelligence (WI) …, 2013 – ieeexplore.ieee.org … Efficient Graph-Based Semi- Supervised Learning of Structured Tagging Models. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. … Subspace Learning / Selected papers from the European Symposium on Time Series Prediction. … Related articles All 3 versions

[BOOK] Engineering Applications of Neural Networks L Iliadis, H Papadopoulos, C Jayne – Springer … 20 Ioannis Anagnostopoulos, Gerasimos Razis, Phivos Mylonas, and Christos-Nikolaos Anagnostopoulos Recognizing Emotion Presence in Natural Language Sentences ….. 30 Isidoros Perikos and Ioannis Hatzilygeroudis … Related articles All 2 versions

2013 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 24 M Abdollahzade, MS Afzal, K Aihara, M Aladjem… – ieeexplore.ieee.org … 2013 1316-1326 Micheli, A., see Bacciu, D., TNNLS Feb. 2013 231-247 Miranian, A., and Abdollahzade, M., Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction; TNNLS Feb. …

An odyssey into computer science and beyond J Toivola – 2013 – users.ics.aalto.fi … Chapman & Hall, February 1997. ISBN 0412558505. [31] Christopher D. Manning and Hinrich Schütze. Foundations of Statistical Natural Language Processing. MIT Press, Cambridge, MA, USA, 1999. ISBN 0-262-13360-1. [32] Peter Marwedel. Embedded System Design. … Related articles

Kernel methods M Signoretto, JAK Suykens – Handbook on Computational …, 2013 – interspeech2007.org Page 1. Kernel Methods Marco Signoretto and Johan AK Suykens Katholieke Universiteit Leuven, ESAT-SCD/SISTA Kasteelpark Arenberg 10, B-3001 Leuven (BELGIUM) {marco.signoretto,johan.suykens}@esat.kuleuven.be Contents 1 Introduction 2 … Cited by 1 Related articles All 17 versions

Absolute Cross Sections of Multi-Photon Ionization of Xenon by the Comparison with Process of its Electron-Impact Ionization AA Mityureva, AA Pastor, PY Serdobintsev… – Adsorption – waset.org Conferences. Related articles All 2 versions

An Approach for Detecting Spam in Arabic Opinion Reviews ASJA Hammad – 2013 – library.iugaza.edu.ps … their opinions on the web. They can now post their views using Internet forums, discussion groups, product reviews and blogs, which are collectively called user-generated contents. User-generated contents are written in natural language with an unstructured-free-texts scheme. … Related articles All 3 versions

A survey of phishing email filtering techniques A Almomani, BB Gupta, S Atawneh… – … Surveys & Tutorials, …, 2013 – ieeexplore.ieee.org Page 1. 2070 IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 15, NO. 4, FOURTH QUARTER 2013 A Survey of Phishing Email Filtering Techniques Ammar Almomani, BB Gupta, Samer Atawneh, A. Meulenberg, and Eman Almomani … Cited by 4 Related articles All 9 versions

Visual intention detection algorithm for wheelchair motion KT LUHANDJULA – 2013 – hal.inria.fr Page 1. ÉCOLE DOCTORALE «Mathématiques, Sciences et Techniques de l’Information et de la Communication» Thèse de doctorat Spécialité : Informatique Thierry Kalonda Luhandjula Algorithme de reconnaissance visuelle d’intentions. … Related articles All 4 versions

[BOOK] Soft Computing for Image and Multimedia Data Processing S Bhattacharyya, U Maulik – 2013 – Springer Page 1. Siddhartha Bhattacharyya Ujjwal Maulik Soft Computing for Image and Multimedia Data Processing Page 2. Soft Computing for Image and Multimedia Data Processing Page 3. Page 4. Siddhartha Bhattacharyya • Ujjwal Maulik Soft Computing for Image … Cited by 2 Related articles All 4 versions

Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification MR Senapati, PK Dash – Artificial Intelligence Review, 2013 – Springer Page 1. Artif Intell Rev (2013) 39:151–163 DOI 10.1007/s10462-011-9263-5 Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification MR Senapati · PK Dash … Cited by 2 Related articles All 7 versions

Health Care Engineering, Part II: Research and Development in the Health Care Environment M Frize – Synthesis Lectures on Biomedical Engineering, 2013 – morganclaypool.com Page 1. SYNTHESIS LECTURES ON BIOMEDICAL ENGINEERING CM & MORGAN CLAYPOOL PUBLISHERS & Health Care Engineering Part II: Research and Development in the Health Care Environment Monique Frize FR IZE HEALTH C ARE ENG INEER ING: P AR T II … Related articles All 3 versions

Rectifying the representation learned by Non-negative Matrix Factorization T Yoshida – International Journal of Knowledge-based and …, 2013 – IOS Press Page 1. International Journal of Knowledge-based and Intelligent Engineering Systems 17 (2013) 279–290 279 DOI 10.3233/KES-130278 IOS Press Rectifying the representation learned by Non-negative Matrix Factorization … Related articles All 2 versions

Reward-driven Training of Random Boolean Network Reservoirs for Model-Free Environments P Gargesa – 2013 – pdxscholar.library.pdx.edu … shown how temporal tasks, where the output is dependant on a temporal structure in the input sequence, can be implemented by Jordan and Elman networks [20]. Elman in his work used feed-forward neural networks in natural language process- ing [20]. … Related articles