Genetic Algorithms & Dialog Systems 2016


Resources:

  • hci.international .. human-computer interaction international conference series
  • pricai.org .. pacific rim international conferences on artificial intelligence

Wikipedia:

References:

See also:

100 Best Clustering Algorithm Videos | 100 Best Java Neural Network Videos100 Best Neural Network Training Videos | 100 Best Neural Network Videos | Abstractive Summarization 2013 | Automatic Summarization & Neural Networks 2014Classification Algorithms In Dialog SystemsCognitive Engines | Computational Analogy | Grammatical Inference Systems | Learning Classifier & Dialog SystemsMetagrammar | Story Generation Systems 2013 | Summarization Systems


On the role of linguistic descriptions of data in the building of natural language generation systems
A Ramos-Soto, A Bugarín, S Barro – Fuzzy Sets and Systems, 2016 – Elsevier
… Recent approaches cover the use of natural language generation in interactive spoken dialogue systems through models which dynamically adapt to the users’ level of expertise [33], a fully data-driven generation method that treats the language generation task as a search for …

Multi-objective heuristic feature selection for speech-based multilingual emotion recognition
C Brester, E Semenkin, M Sidorov – Journal of Artificial Intelligence …, 2016 – degruyter.com
… In this Section there is a description of the two- criterion model used and some details about multi- objective genetic algorithms are applied … One of the obvious ways to improve the intel- lectual abilities of spoken dialogue systems is that related to their personalization …

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems
D Griol, JA Iglesias, A Ledezma… – International journal of …, 2016 – World Scientific
… 1650002-3 Page 4. D. Griol et al. success, efficiency, and user satisfaction with dialog systems … Montero and Araki describes a genetic algorithm (GA)-like transfer approach to automatically gen- erate and evaluate dialog sentences …

Interactive Collaborative Robotics and Natural Language Interface Based on Multi-agent Recursive Cognitive Architectures
M Anchokov, V Denisenko, Z Nagoev… – International Conference …, 2016 – Springer
… The system provides a bi-directional exchange of natural language statements in a dialog system style and is designed to input tasks (missions … Anchokov, MI: Solution to the problem of training a multi-agent neural network by means of a multi-chromosome genetic algorithm …

Chinese poetry generation with planning based neural network
Z Wang, W He, H Wu, H Wu, W Li, H Wang… – arXiv preprint arXiv …, 2016 – arxiv.org
… to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation. arXiv preprint arXiv:1603.08023. [Manurung et al.2012] Ruli Manurung, Graeme Ritchie, and Henry Thompson. 2012. Using genetic algorithms to create …

How to talk to strangers: Generating medical reports for first-time users
D Gkatzia, V Rieser, O Lemon – Fuzzy Systems (FUZZ-IEEE) …, 2016 – ieeexplore.ieee.org
… However, the standard way of solving a multi-objective task is through generating a set of optimal solutions using genetic algorithms [8]. Although Multi-objective optimisation is novel for content selection, the use of genetic algorithms is not new to content selection …

Multimodal emotion recognition with evolutionary computation for human-robot interaction
LA Perez-Gaspar, SO Caballero-Morales… – Expert Systems with …, 2016 – Elsevier
… Text stimuli was designed to create an emotional speech database of Mexican users. • Genetic algorithms improved the performance of HMMs and ANNs for emotion recognition. • A dialogue system was developed for interaction with a humanoid robot. • …

Real-time language-independent algorithm for dialogue agents
A JORDAN, K ARAKI – ?????, 2016 – jstage.jst.go.jp
… The graph is generated using a corpus of example sentences in the target language, and the system output generation is similar to an example?base dialogue system ?16? … We can compare this process to the crossover in genetic algorithms …

Topic Categorization Based on Collectives of TermWeighting Methods for Natural Language Call Routing
RB Sergienko, M Shan, W Minker, ES Semenkin… – 2016 – elib.sfu-kras.ru
… [2] C.Lee, S.Jung, S.Kim, G.Lee, Example-Based Dialog Modeling for Practical Multi-Domain Dialog System, Speech Communication, 51(2009), no … [10] T.Gasanova, R.Sergienko, E.Semenkin, W.Minker, Dimension reduction with coevolution- ary genetic algorithm for text …

MULTI-OBJECTIVE GENETIC ALGORITHMS AS AN EFFECTIVE TOOL FOR FEATURE SELECTION IN THE SPEECH-BASED EMOTION RECOGNITION …
CY Brester, OE Semenkina, MY Sidorov – christinabrester.com
… NSGA-II SPEA2 PICEA-g Heterogeneous Cooperative Multi-objective Genetic Algorithm Fig … Speech-based emotion recognition and corpora description One of the obvious ways to improve the intellectual abilities of spoken dialogue systems is related to their personalization …

MULTI-CRITERIA SELF-ADJUSTING GENETIC PROGRAMMING FOR DESIGN NEURAL NETWORK MODELS IN THE TASK OF FEATURE SELECTION
E Loseva – ??????????? ???? ??????, 2016 – elibrary.ru
… The main difficulty for good working dialog systems lies in the processing of large amounts of data … Each individual is a tree – ANN. Step 2. Optimization of the neural network weighting factors by one-criteria the genetic algorithm (GA) …

Policy optimization for spoken dialog management using genetic algorithm
H Ren, Q Zhao, Y Yan – IEICE TRANSACTIONS on Information and …, 2016 – search.ieice.org
… are very difficult for dialog system designers to verify or modify, which largely limits the deployment for commercial applications. In this paper we propose a novel framework for optimizing dialog policies specified in human-readable domain language using genetic algorithm …

Structural Optimization and Online Evolutionary Learning for Spoken Dialog Management
H Ren, Y Yan – IEEE Signal Processing Letters, 2016 – ieeexplore.ieee.org
… [10] JD Williams, “The best of both worlds: unifying conventional dialog systems and POMDPs.” in Proc. Interspeech, 2008, pp. 1173–1176. [11] H. Ren, W. Xu, and Y. Yan, “Optimizing human-interpretable dialog management policy using genetic algorithm,” in Proc …

Text classification for spoken dialogue systems
R Sergienko – 2016 – oparu.uni-ulm.de
… classification approaches for speech-based utterance classification problems in the field of advanced spoken dialogue system (SDS) design … results may be again significantly improved by weighted voting with an optimization based on a self-adjusting genetic algorithm (GA) …

Multiple optima identification using multi-strategy multimodal genetic algorithm
EA Sopov – … of Siberian Federal University. Mathematics & …, 2016 – search.proquest.com
… [2] C.Lee, S.Jung, S.Kim, G.Lee, Example-Based Dialog Modeling for Practical Multi-Domain Dialog System, Speech Communication, 51(2009), no … [10] T.Gasanova, R.Sergienko, E.Semenkin, W.Minker, Dimension reduction with coevolutionary genetic algorithm for text …

Multi-objective genetic algorithms as an effective tool for feature selection in the speech-based emotion recognition problem
BC Yu, OE Semenkina, MY Sidorov – … ???????????? ??. ????????? …, 2016 – cyberleninka.ru
… Non-Sorting Genetic Algorithm II (NSGA-II) [5], Preference-Inspired Co-Evolutionary Algorithm with goal vectors (PICEA-g) [6] and Strength Pareto … One of the obvious ways to improve the intellectual abilities of spoken dialogue systems is related to their personalization …

International Conference on Oriental Thinking and Fuzzy Logic: Celebration of the 50th Anniversary in the Era of Complex Systems and Big Data
BY Cao, PZ Wang, ZL Liu, YB Zhong – 2016 – books.google.com
… 429 Kai-qi Zou and Li-na Shi An Improved Genetic Algorithm for Multiple Sequence Alignment … 687 Ruihua Geng Multi-sentence Level Natural Language Generation for Dialogue System …

Speech and Computer: 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings
A Ronzhin, R Potapova, G Németh – 2016 – books.google.com
… 140 András Beke and György Szaszák Backchanneling via Twitter Data for Conversational Dialogue Systems … 224 Vasilisa Verkhodanova and Vladimir Shapranov Detecting Laughter and Filler Events by Time Series Smoothing with Genetic Algorithms …

Hybrid of Evolutionary and Swarm Intelligence Algorithms for Prosody Modeling in Natural Speech Synthesis
M Sheikhan – International Journal of Information & Communication …, 2016 – journal.itrc.ac.ir
… unit. Keywords- speech synthesis; genetic algorithm; ant colony optimization; neural network; prosody … situational context [8], emotional processing [9], speech to speech translation [10, 11], and automatic dialogue systems [12] …

Multidisciplinary Approaches to Neural Computing
AM Esposito, F Giudicepietro, S Scarpetta, S Khilnani – 2016 – Springer
… for the processing of dynamic signals, in anticipation of the implementation of intelligent avatars, interactive dialog systems, and reliable … Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach …

An approach of a computerized planning assistant to the system design of collaborative robot installations
S Keller, R Hausmann, L Kressner… – … and Factory Automation …, 2016 – ieeexplore.ieee.org
… The 5 different algorithms: Linear Optimisation, Artificial Neural Networks, Decision Trees, Genetic Algorithms and Cased-Based Reasoning were evaluated and the comparative … The dialog system shown in figure 5 is the primary interface between the user and the expert system …

News Selection Method Considering the User’s Interests for an Intelligent Conversation System
E Yoshimura, M Imono, S Tsuchiya… – Proceedings on the …, 2016 – search.proquest.com
… of Non-task-oriented dialogue system using Semantic Network, IPSJ SIG Technical Report, ICS2009(16), pp.29- 34(2009). [7] Y.Kimura, K.Araki, Y.Momouchi, K.Tochinai,: Spoken Dialogue Processing Method Using Inductive Learning with Genetic Algorithm, IEICE Transactions …

The power of online genetic algorithm in stealth assessment for school readiness
I Suleiman, M Arslan, R Alhajj, M Ridley – Journal of Computers in …, 2016 – Springer
… June 2016 , Volume 3, Issue 2, pp 209–246. The power of online genetic algorithm in stealth assessment for school readiness. Authors … In each case, either the parameters or the structure can be optimized, or—potentially—both. What are genetic algorithms? Overview …

MQP MBJ 1600: AUTOMATED MAP GENERATION SYSTEM
E Faust – 2016 – wpi.edu
… pickups available, how many enemies are in residence, etc. A genetic algorithm might be used to … The dialogue wasn’t intended to be cut. We took on an extra group member just to implement the dialogue system and general UI. Unfortunately, the extra member was delayed …

Humans and Machines in the Evolution of AI in Korea
BT Zhang – AI Magazine, 2016 – go.galegroup.com
… The Neurocomputing SIG also covered other nature-inspired approaches such as evolutionary computation, genetic algorithms, and artificial life … The goal is to develop natural language dialogue systems for knowledge communications between humans and machines in …

Specification of an Architecture for Self-organizing Scheduling Systems
A Madureira, I Pereira, B Cunha – International Conference on Intelligent …, 2016 – Springer
… They implement intelligent optimization methods (Metaheuristics) such as Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization, among others, in order to find the best … Ferguson, G., Allen, J.: Mixed-initiative dialogue systems for collaborative problem-solving …

Institute of Communications Engineering Staff
M Bossert, R Fischer, W Minker, UC Fiebig… – Journal of Siberian …, 2016 – uni-ulm.de
… Adaptive Multi-Criteria Genetic Algorithm International Conference on Language Resources and Evaluation (LREC), Reykjavik, Iceland, pp. 3481-3485, May 2014 Bibtex. F. Nothdurft and W. Minker Justification and Transparency Explanations in Dialogue Systems to Maintain …

Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?
M Sidorov, A Schmitt, E Semenkin, W Minker – LREC, 2016 – lrec-conf.org
… wolfgang.minker@uni-ulm.de Abstract Emotion Recognition (ER) is an important part of dialogue analysis which can be used in order to improve the quality of Spoken Dialogue Systems (SDSs). The emotional hypothesis of the …

A generalized framework for anaphora resolution in Indian languages
UK Sikdar, A Ekbal, S Saha – Knowledge-Based Systems, 2016 – Elsevier
… The paper proposes a joint model of feature selection and parameter optimization of classifier. The technique is based on multobjective genetic algorithms … Unlike [10], we do not make use of genetic algorithm, and use differential evolution to build our models …

Institute of Information Technology
J Lindner, W Teich, A Linduska, M Mostafa… – Journal of Siberian …, 2016 – uni-ulm.de
… Adaptive Multi-Criteria Genetic Algorithm International Conference on Language Resources and Evaluation (LREC), Reykjavik, Iceland, pp. 3481-3485, May 2014 Bibtex. F. Nothdurft and W. Minker Justification and Transparency Explanations in Dialogue Systems to Maintain …

International Conference on Oriental Thinking and Fuzzy Logic
BY Cao, PZ Wang, ZL Liu, YB Zhong – Springer
… 429 Kai-qi Zou and Li-na Shi An Improved Genetic Algorithm for Multiple Sequence Alignment … 687 Ruihua Geng Multi-sentence Level Natural Language Generation for Dialogue System …

Speaker specific features and phonemes in speech: a proposal for evaluating a possible interaction
N Yadav, S Rossato, J Kahn… – … and Forensics (IWBF) …, 2016 – ieeexplore.ieee.org
… al., Integration of speaker recognition into conversational spoken dialogue systems, Proc. Eu- roSpeech, pp.1961-1964, 2003. [4] Zamalloa, M.; Bordel, G.; Rodriguez, LJ; Penagarikano, M., ”Feature Selection Based on Genetic Algorithms for Speaker Recognition,” Speaker and …

Kalitzin, SN, Bauer, PR, Lamberts, RJ, Velis, DN & Thijs, RD, Automated Video Detection of Epileptic Convulsion Slowing as a Precursor for Post-Seizure Neuronal …
S Knieling, KS Sridharan, P Belardinelli, G Naros… – World Scientific
… Iglesias, JA, Ledezma, A. & Sanchis, A., A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems … Fernández, E., Automatic Tuning of a Retina Model for a Cortical Visual Neuroprosthesis Using a Multi-Objective Optimization Genetic Algorithm …

Improvement opportunities in commodity trucks delivery in globalized markets
I Makarova, R Khabibullin, E Belyaev… – … -stru?ni ?asopis za more i …, 2016 – hrcak.srce.hr
… data analysis, knowledge search in the database, precedent-based reasoning, simulation modeling, evolutionary computation and genetic algorithms [17], neural … 2. A dialogue system allowing the user to enquire which data should be selected and how they should be treated …

Cloud manufacturing model in polymer material industry
X Qiu, G He, X Ji – The International Journal of Advanced Manufacturing …, 2016 – Springer
… The logical architecture of DSS-based CC is shown in Fig. 6. With the help of the latest achievements of genetic algorithms, gray correlation analysis, and artificial neural Knowledge management Concurrent engineering 3C … Decision maker Dialogue system DCS Rules pool …

Analysis, optimization and development of an answer scoring system
I Lopez-Gazpio – 2016 – addi.ehu.es
… 7 sponse classes1. The corpora has been created out of two established sources: the BEETLE corpus, a data set collected and annotated during the evalu- ation of the BEETLE II tutorial dialogue system [Dzikovska et al., 2010]; and the SCIENTSBANK corpus, a set of student …

THE HOLSTEIN CATTLE BREEDING PARTICULARITIES IN RUSSIAN SMALL AND MEDIUM ENTERPRISES’CONDITIONS
V Sidorova – EUREKA: Life Sciences, 2016 – eu-jr.eu
… The database system creating and implementing was used “the Network” system plus 4 dialog system, “Computer – selector” with the (PPP) “Telespravka” and “Kama” applied programs packages … Genetic algorithms: mathematical analysis of some schemes of repro- duction …

Combination of Empirical Mode Decomposition Components of HRV Signals for Discriminating Emotional States
A Goshvarpour, A Abbasi… – Iranian Journal of Medical …, 2016 – ijmp.mums.ac.ir
… (for Classification) BN: Bayesian Network, CART: Classification and Regression Trees, CCA: Canonical Correlation Analysis, DFA: Discriminant Function Analysis, GA: Genetic Algorithm, KNN: K-Nearest Neighbor, LDA: Linear Discriminant Analysis, QDC: Quadratic …

Impact of demand side resources and carbon quota on unit commitment solution
A Sharma, YP Verma – Power Electronics, Intelligent Control …, 2016 – ieeexplore.ieee.org
… I. INTRODUCTION The salient feature of smart grid is a two way digital dialog system … [2] C. Cheng, C. Liu,and C.Liu,”Unit commitment by Lagrangian Relaxation and genetic algorithm,” IEEE Transactions On Power Systems, vol. 15, May 2000 …

Application Areas of AI Systems
M Flasi?ski – Introduction to Artificial Intelligence, 2016 – Springer
… summarizing, Optical Character Recognition (OCR), speech synthesis (on the basis of a text), simple question-answer dialogue systems, etc … Various AI methods such as state space search, neural networks, genetic algorithms, semantic networks, and reasoning by analogy are …

Evolutionary Algorithms under Noise and Uncertainty: a location-allocation case study
M Vallejo, DW Corne – … SSCI), 2016 IEEE Symposium Series on, 2016 – ieeexplore.ieee.org
… The same gathering method was successfully applied in dialogue systems [68], environmental studies [69] or emulators for managing uncertainty in urban climate models, such as the Multilayer Urban Canocopy Model (MUCM) [70], [71] …

A simple interaction model for learner agents: An evolutionary approach
A Beigi, N Mozayani – Journal of Intelligent & Fuzzy Systems, 2016 – content.iospress.com
… [3]. Beigi A. , Parvin H. , Mozayani N. and Minaei B. , Improving Reinforcement Learning Agents Using Genetic Algorithms, Lecture Notes in Computer … Cuayahuitl H. , Hierarchical Reinforcement Learning for Spoken Dialogue Systems, PhD Thesis, University of Edinburgh, (2009 …

A survey: Cyber-physical-social systems and their system-level design methodology
J Zeng, LT Yang, M Lin, H Ning, J Ma – Future Generation Computer …, 2016 – Elsevier
The emergence of cyber-physical-social systems (CPSS) as a novel paradigm has revolutionized the relationship between humans, computers and the physical environ.

Extending MAM5 Meta-Model and JaCalIV E Framework to Integrate Smart Devices from Real Environments
JA Rincon, JL Poza-Lujan, V Julian… – PloS one, 2016 – journals.plos.org
… An agent can include as a decision-making mechanism other algorithms that improve the deliberative process—such as: reinforcement learning [18]; genetic algorithms [19]; Markov models [20]; classification [21, 22]; and neuronal networks [23] or use any hybrid artificial …

Providing arguments in discussions on the basis of the prediction of human argumentative behavior
A Rosenfeld, S Kraus – ACM Transactions on Interactive Intelligent …, 2016 – dl.acm.org
… An agent can help a user in this task by revealing additional 3Also known as dialog systems. ACM Transactions on Interactive Intelligent Systems, Vol. 6, No. 4, Article 30, Publication date: December 2016. Page 6. 30:6 A. Rosenfeld and S. Kraus …

What makes virtual agents believable?
A Bogdanovych, T Trescak, S Simoff – Connection Science, 2016 – Taylor & Francis
Page 1. CONNECTION SCIENCE, 2016 VOL. 28, NO. 1, 83–108 http://dx.doi.org/ 10.1080/09540091.2015.1130021 What makes virtual agents believable? Anton Bogdanovych, Tomas Trescak and Simeon Simoff MARCS Research …

A survey on design and development of an unmanned aerial vehicle (quadcopter)
D BBVL, P Singh – International Journal of Intelligent …, 2016 – emeraldinsight.com

Higher-order Multivariable Polynomial Regression to Estimate Human Affective States
J Wei, T Chen, G Liu, J Yang – Scientific reports, 2016 – nature.com
… Methods of estimating human affective states, such as multivariate linear-regression analysis (MLR), partial least-square estimation (PLS), genetic algorithm optimized support vector regression (GA-SVR), artificial neural network (ANN), bidirectional long short-term memory …

CHAPTER FIVE ROBOTS FOR EXPLORATION, DIGITAL PRESERVATION AND VISUALIZATION OF ARCHEOLOGICAL SITES
J SERAFI, M DICICCO, TM BONANNI… – … for Cultural Heritage, 2016 – books.google.com
… His research interests include Distributed Algorithms, Knowledge Representation and Reasoning, Functional Languages, and Genetic Algorithms … Spoken Language Corpora, Speech perception in Humans and Machines, Multimodal Interfaces and Speech Dialogue Systems …

FEDERICO II
S Balbi – researchgate.net
… selection, visualization, graphical models, genetic algorithms. All cited methods, algorithms, vary a lot in term of appropriateness with re … 3. Hard: Text Summarization; Machine dialog system (also defined “Intelli- gent Personal Assistant”4); …

Prominent feature extraction for sentiment analysis
B Agarwal, N Mittal – 2016 – Springer
… manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … CHI Chi-square CSR Class sequential rules DF Document frequency EWGA Entropy Weighted Genetic Algorithm FN False …

Hydrological modelling under limited data availability: a case study of Umdloti River, South Africa
TI Mashiyane – 2016 – ir.dut.ac.za
… ESKOM Electrical Company of South Africa ESV Existing Storage Volume FCC Flood Control Curve GA Genetic Algorithm GAO Genetic Algorithm Optimisation GHG Green House Gases GP Genetic Programming IDNP Inexact De Novo Programming …

Personality in Argumentative Agents
ME Etheredge – 2016 – dspace.library.uu.nl
… of applications. In the field of multi-agent systems dialogue systems are studied in terms of different types of dialogues, rules for participation and contribution in the dialogue and the role of arguments in the dialogue. Walton …

Pontifícia Universidade Católica
RZB Bravo – 2016 – dbd.puc-rio.br
… (2008) present experiments that investigated the effect PUC-Rio – Certificação Digital Nº 1412693/CA Page 18. 18 of the user model on POMDP-based dialogue systems and showed that POMDP strategies significantly outperform MDP strategies. Thomson et al. (2008) present …

Metaheuristic Applications to Speech Enhancement
P Kunche, K Reddy – 2016 – Springer
… Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use …

PersoNER: Persian Named-Entity Recognition
H Poostchi, E Zare Borzeshi, M Abdous… – The 26th International …, 2016 – opus.lib.uts.edu.au
… Dialog Processing and Dialog Systems, Multimodal Interfaces Nina Dethlefs Simon Keizer Giuseppe Riccardi … A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence Maxime Peyrard and Judith Eckle-Kohler …

Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Y Matsumoto, R Prasad – Proceedings of COLING 2016, the 26th …, 2016 – aclweb.org
… Dialog Processing and Dialog Systems, Multimodal Interfaces Nina Dethlefs Simon Keizer Giuseppe Riccardi … A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence Maxime Peyrard and Judith Eckle-Kohler …

Learning to Interpret and Generate Instructional Recipes
C Kiddon – 2016 – digital.lib.washington.edu
… 69 4.5 Dialogue System Results … Laroche et al. (2013) proposed Cooking Coach, a spoken dialogue system to help a user search for recipes and prepare the recipe. A similar, if not more futuristic, application is the construction of robotic cooking assistants (Beetz …

Word representation using a deep neural network
Y Li – 2016 – search.proquest.com
… The vectors can be used in various scenarios in NLP, such as machine translation, knowledge extraction, information retrieval, and dialogue systems … Hybrid system with genetic algorithm and articial neural networks and its application to retail credit risk assessment …

STRESS RECOGNITION FROM SPEECH SIGNAL
M STAN?K – vutbr.cz
Page 1. VYSOKÉ U?ENÍ TECHNICKÉ V BRN? BRNO UNIVERSITY OF TECHNOLOGY FAKULTA ELEKTROTECHNIKY A KOMUNIKA?NÍCH TECHNOLOGIÍ ÚSTAV RADIOELEKTRONIKY FACULTY OF ELECTRICAL ENGINEERING …

A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation
A Bilgin, H Hagras, J van Helvert… – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
Page 1. 306 IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 24, NO. 2, APRIL 2016 A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation …

Automatic estimation of users’ verbal intelligence
K Zablotskaya – 2016 – oparu.uni-ulm.de
… Frequency DL Dialogue Length ET Emotional Tone HAWIE Hamburg Wechsler Intelligence Test for Adults GA Genetic Algorithm GATB General … Semantic Analysis LSM Language Style Model NB Naive Bayes SQ Social Quotient SDS Spoken Dialogue System SVM Support …

A Study on the Effect of Design Factors of Slim Keyboard’s Tactile Feedback
KC Lin, CF Wu, HL Hsu, YH Tu, CC Wu – Topology, 2016 – waset.org
Conferences.

Intelligent Robotics and Applications: 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings
N Kubota, K Kiguchi, H Liu, T Obo – 2016 – books.google.com
Page 1. Naoyuki Kubota · Kazuo Kiguchi Honghai Liu · Takenori Obo (Eds.) Intelligent Robotics and Applications 9th International Conference, ICIRA 2016 Tokyo, Japan, August 22–24, 2016 Proceedings, Part II 123 Page 2 …

3.35 Open Problems and State-of-Art of Session Types
N Yoshida – Compositional Verification Methods for Next …, 2016 – pdfs.semanticscholar.org
Page 24. 22 15191–Compositional Verification Methods for Next-Generation Concurrency 3.35 Open Problems and State-of-Art of Session Types Nobuko Yoshida (Imperial College London, GB) License Creative Commons …

TempoWordNet: une ressource lexicale pour l’extraction d’information temporelle
M Hasanuzzaman – 2016 – tel.archives-ouvertes.fr
… Il s’agit de Multi Objective Optimization, ou Optimisation d’objectifs multiples. En particulier, nous avons utilisé le Non-dominated Sorting Genetic Algorithm (NSGA- II), en utilisant la solution qui maximise la F-Mesure, et en déployant le tout sur la plate-forme Weka. vi Page 10 …

Reducing Complexity of AI in Open-World Games by Combining Search-based and Reactive Techniques
M ?erný – 2016 – dspace.cuni.cz
Page 1. Charles University in Prague Faculty of Mathematics and Physics DOCTORAL THESIS [ Martin ?erný Reducing Complexity of AI in Open-World Games by Combining Search-based and Reactive Techniques Department of Software and Computer Science Education …

A Corpus Driven Computational Intelligence Framework for Deception Detection in Financial Text
SZ Minhas – 2016 – dspace.stir.ac.uk
Page 1. A Corpus Driven Computational Intelligence Framework for Deception Detection in Financial Text Thesis submitted in accordance with the requirements of the University of Stirling for the degree of Doctor of Philosophy Saliha Minhas …