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18th AI 2005: Victoria, BC, Canada
- Balázs Kégl, Guy Lapalme:
Advances in Artificial Intelligence, 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005, Proceedings. Lecture Notes in Computer Science 3501, Springer 2005, ISBN 3-540-25864-7
Agents
- Adam Milstein:
Dynamic Maps in Monte Carlo Localization. 1-12 - Lingzhong Zhou, Abdul Sattar, Scott D. Goodwin:
Handling Over-Constrained Problems in Distributed Multi-agent Systems. 13-24 - Sung Baik, Ju Cho, Jerzy W. Bala:
Performance Evaluation of an Agent Based Distributed Data Mining System. 25-32 - Michael Y. K. Cheng, Chris Micacchi, Robin Cohen:
Adjusting the Autonomy of Collections of Agents in Multiagent Systems. 33-37 - Jörg Denzinger, Jordan Kidney:
ARES 2: A Tool for Evaluating Cooperative and Competitive Multi-agent Systems. 38-42 - Sébastien Paquet, Nicolas Bernier, Brahim Chaib-draa
:
Multiagent Systems Viewed as Distributed Scheduling Systems: Methodology and Experiments. 43-47 - Eric Beaudry, Froduald Kabanza, François Michaud:
Planning for a Mobile Robot to Attend a Conference. 48-52
Constraint Satisfaction and Search
- Jingfang Zheng, Michael C. Horsch:
A Decision Theoretic Meta-reasoner for Constraint Optimization. 53-65 - Alexander Kovarsky, Michael Buro:
Heuristic Search Applied to Abstract Combat Games. 66-78 - Kun Wu, William S. Havens:
Modelling an Academic Curriculum Plan as a Mixed-Initiative Constraint Satisfaction Problem. 79-90 - Mark Kilfoil, Ali A. Ghorbani:
SWAMI: Searching the Web Using Agents with Mobility and Intelligence. 91-102 - Ronnie Mueller, William S. Havens:
Queuing Local Solutions in Distributed Constraint Satisfaction Systems. 103-107
Data Mining
- Jeff Long, Michael C. Horsch:
A Bayesian Model to Smooth Telepointer Jitter. 108-119 - Xin Wang, Howard J. Hamilton:
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets. 120-132 - Scott Buffett:
A Markov Model for Inventory Level Optimization in Supply-Chain Management. 133-144 - Marina Sokolova, Stan Szpakowicz:
Analysis and Classification of Strategies in Electronic Negotiations. 145-157 - Leon French, Alioune Ngom, Luis Rueda:
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis. 158-169 - Alban Grastien, Marie-Odile Cordier, Christine Largouët:
First Steps Towards Incremental Diagnosis of Discrete-Event Systems. 170-181 - Jiayun Guo, Vlado Keselj
Integrating Web Content Clustering into Web Log Association Rule Mining. 182-193 - Quintin Armour, William Elazmeh, Nour El-Kadri, Nathalie Japkowicz
Privacy Compliance Enforcement in Email. 194-204 - Xin Wang, Howard J. Hamilton:
Towards an Ontology-Based Spatial Clustering Framework. 205-216 - Sung Baik, Jerzy W. Bala, Ali Hadjarian, Peter Pachowicz, Ran Baik:
Moving Target Prediction Using Evolutionary Algorithms. 217-221 - Wonil Kim, Han-Ku Lee, Jinman Park, Kyoungro Yoon:
Multi Class Adult Image Classification Using Neural Networks. 222-226 - Rita Sharma, David Poole:
Probability and Equality: A Probabilistic Model of Identity Uncertainty. 227-231
Knowledge Representation and Reasoning
- Ricardo Sousa Silvestre, Tarcisio H. C. Pequeno:
A Logic of Inductive Implication or Artificial Intelligence Meets Philosophy of Science II. 232-243 - Carlos Iván Chesñevar, Ramón F. Brena, José-Luis Aguirre:
Knowledge Distribution in Large Organizations Using Defeasible Logic Programming. 244-256 - Eric Neufeld, Sonje Kristtorn:
On the Role of the Markov Condition in Causal Reasoning. 257-267
Machine Learning
- Mykola Pechenizkiy
The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5. 268-279 - Liangxiao Jiang
Instance Cloning Local Naive Bayes. 280-291 - Bin Tang, Michael A. Shepherd, Malcolm I. Heywood
Comparing Dimension Reduction Techniques for Document Clustering. 292-296 - Cory J. Butz, F. Fang:
Incorporating Evidence in Bayesian Networks with the Select Operator. 297-301 - Tianqiang Huang, Xiaolin Qin, Qinmin Wang, Chongcheng Chen:
Quick Spatial Outliers Detecting with Random Sampling. 302-306
Natural Language
- Lyne Da Sylva, Frédéric Doll:
A Document Browsing Tool: Using Lexical Classes to Convey Information. 307-318 - David Nadeau, Peter D. Turney:
A Supervised Learning Approach to Acronym Identification. 319-329 - Nabil Abdullah, Richard A. Frost:
Adjectives: A Uniform Semantic Approach. 330-341 - Shane Bergsma:
Automatic Acquisition of Gender Information for Anaphora Resolution. 342-353 - Alexandre Patry, Philippe Langlais:
Automatic Identification of Parallel Documents With Light or Without Linguistic Resources. 354-365 - Ahmed Amrani, Mathieu Roche, Yves Kodratoff, Oriane Matte-Tailliez:
Inductive Improvement of Part-of-Speech Tagging and Its Effect on a Terminology of Molecular Biology. 366-376 - Simon Réhel, Guy W. Mineau:
Vocabulary Completion Through Word Cooccurrence Analysis Using Unlabeled Documents for Text Categorization. 377-388 - Hong Shen, Anoop Sarkar:
Voting Between Multiple Data Representations for Text Chunking. 389-400 - Li Su, Richard A. Frost:
A Novel Use of VXML to Construct a Speech Browser for a Public-Domain SpeechWeb. 401-405 - Tahar Saidane, Mounir Zrigui, Mohamed Ben Ahmed:
Arabic Speech Synthesis Using a Concatenation of Polyphones: The Results. 406-411 - Hui Li, Nathalie Japkowicz
English to Chinese Translation of Prepositions. 412-416 - Osama El Demerdash, Sabine Bergler, Leila Kosseim, P. Karen Langshaw:
Generating Adaptive Multimedia Presentations Based on a Semiotic Framework. 417-421 - Yllias Chali, Maheedhar Kolla:
Producing Headline Summaries for Newspaper Articles. 422-426 - Abderrezak Brahmi, Ahmed Ech-Cherif:
Regularized Classifiers for Information Retrieval. 427-431 - Murat Deviren, Khalid Daoudi, Kamel Smaïli:
Rethinking Language Models Within the Framework of Dynamic Bayesian Networks. 432-437
Reinforcement Learning
- Fletcher Lu:
Error Bounds in Reinforcement Learning Policy Evaluation. 438-449 - Sébastien Paquet, Ludovic Tobin, Brahim Chaib-draa
Real-Time Decision Making for Large POMDPs. 450-455
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