Advances in Artificial Intelligence: 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John's, Canada, May 25-27, 2011, ProceedingsCory Butz, Pawan Lingras Springer Science & Business Media, 9 mai 2011 - 434 pages This book constitutes the refereed proceedings of the 24th Conference on Artificial Intelligence, Canadian AI 2011, held in St. John’s, Canada, in May 2011. The 23 revised full papers presented together with 22 revised short papers and 5 papers from the graduate student symposium were carefully reviewed and selected from 81 submissions. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied. |
Table des matières
Dynamic Obstacle Representations for Robot and Virtual Agent Navigation | 1 |
Grounding Formulas with Complex Terms | 13 |
Moving Object Modelling Approach for Lowering Uncertainty in Location Tracking Systems | 26 |
Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of MultipleChoice Questions | 32 |
An Improved Satisfiable SAT Generator Based on Random Subgraph Isomorphism | 44 |
Utility Estimation in Large Preference Graphs Using A Search | 50 |
A Learning Method for Developing PROAFTN Classifiers and a Comparative Study with Decision Trees | 56 |
Using a Heterogeneous Dataset for Emotion Analysis in Text | 62 |
A Supervised Method of Feature Weighting for Measuring Semantic Relatedness | 222 |
A Case Study | 234 |
Evaluation and Application of Scenario Based Design on Thunderbird | 240 |
Improving Phenotype Name Recognition | 246 |
Classifying Severely Imbalanced Data | 258 |
Simulating Cognitive Phenomena with a Symbolic Dynamical System | 265 |
Finding Small Backdoors in SAT Instances | 269 |
Normal Distribution ReWeighting for Personalized Web Search | 281 |
Using Semantic Information to Answer Complex Questions | 68 |
Automatic Semantic Web Annotation of Named Entities | 74 |
Learning Dialogue POMDP Models from Data | 86 |
Characterizing a BrainBased ValueFunction Approximator | 92 |
Answer Set Programming for Stream Reasoning | 104 |
A Markov Decision Process Model for Strategic Decision Making in Sailboat Racing | 110 |
Exploiting Conversational Features to Detect HighQuality Blog Comments | 122 |
Consolidation Using ContextSensitive Multiple Task Learning | 128 |
Extracting Relations between Diseases Treatments and Tests from Clinical Data | 140 |
Compact Features for Sentiment Analysis | 146 |
Instance Selection in Semisupervised Learning | 158 |
Determining an Optimal Seismic Network Configuration Using SelfOrganizing Maps | 170 |
Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images | 174 |
Learning Probability Distributions over Permutations by Means of Fourier Coefficients | 186 |
Correcting Different Types of Errors in Texts | 192 |
Simulating the Effect of Emotional Stress on Task Performance Using OCC | 204 |
Base Station Controlled Intelligent Clustering Routing in Wireless Sensor Networks | 210 |
Comparison of Semantic Similarity for Different Languages Using the Google ngram Corpus and Second Order Cooccurrence Measures | 216 |
Granular State Space Search | 285 |
Comparing Humans and Automatic Speech Recognition Systems in Recognizing Dysarthric Speech | 291 |
A ContextAware ReputationBased Model of Trust for Open Multiagent Environments | 301 |
A GraphBased Approach to Increase Readability of Automatic Text Summaries | 313 |
Textual and Graphical Presentation of Environmental Information | 319 |
Comparing Distributional and Mirror Translation Similarities for Extracting Synonyms | 323 |
Generic Solution Construction in ValuationBased Systems | 335 |
CrossLingual Word Sense Disambiguation for Languages with Scarce Resources | 347 |
A Vertical Group Difference Approach to Contrast Set Mining | 359 |
Hybrid Reasoning for Ontology Classification | 372 |
Subspace Mapping of Noisy Text Documents | 377 |
Extending AdaBoost to Iteratively Vary Its Base Classifiers | 384 |
Parallelizing a Convergent Approximate Inference Method | 390 |
Reducing PositionSensitive Subset Ranking to Classification | 396 |
Integrating Natural Language Processing with the Eclipse Platform | 408 |
Partial Evaluation for Planning in Multiagent Expedition | 420 |
| 433 | |
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Expressions et termes fréquents
Abstract accuracy AdaBoost agent algorithm analysis annotation applied approach automatic backdoors Berlin Heidelberg 2011 Butz Canadian AI 2011 candidate classification co-training Computational Linguistics context contrast sets COP-net corpus csMTL datasets defined detection distribution documents domain Dynamic dysarthric emotion errors evaluation example experiments extraction frequency function graph Heidelberg improve input instances ISBOLD iteration Javadoc labeled lexical Lingras Eds LNAI machine learning matrix method N-grams named entity Named Entity Recognition Natural Language Processing nodes ontology optimal outcomes pairs paper parameters partial evaluation performance Persian phenotype POMDP PROAFTN problem Proceedings proposed ranking References representation scores Section selected semantic semi-supervised learning semiring sentences similarity simulation solution Springer-Verlag Berlin Heidelberg subset synsets Table task techniques threshold unsupervised valuation algebras variables vector weights Wikipedia Word Sense Disambiguation WordNet words