Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 - June 2, 2010,

Acquisition of ‘Deep’ Knowledge from Shallow Corpus Statistics......Page 1
University and Industry Partnership in NLP, Is It Worth the “Trouble”?......Page 2
Corpus-Based Term Relatedness Graphs in Tag Recommendation......Page 3
Introduction......Page 4
Experiments......Page 6
ECOC with 2vM......Page 8
Document Categorization......Page 10
Question Classification......Page 12
Related Work......Page 13
Conclusion and Future Work......Page 14
References......Page 15
Introduction......Page 16
Related Work......Page 18
Flame Annotated Data......Page 19
Insulting and Abusing Language Dictionary......Page 20
Multilevel Classification......Page 21
Results......Page 22
Conclusion and Future Work......Page 24
References......Page 25
Introduction......Page 28
The Naive Bayesian Spam Filtering......Page 30
A Three-Way Decision Approach to Email Spam Filtering......Page 31
Experimental Results and Evaluations......Page 36
Conclusion......Page 38
Introduction......Page 40
Previous Work......Page 41
Resources......Page 42
Feature Sets......Page 44
Two-Level Classification......Page 45
Three-Level Classification......Page 46
Conclusions and Future Work......Page 48
References......Page 49
Introduction......Page 51
Producing the Summary of a Legal Decision......Page 52
Building the Corpus......Page 53
Categories and Features......Page 55
Classification Results and Discussion......Page 56
Comparison with a Baseline and ASLI......Page 57
Results for Other Fields and Language......Page 58
Rouge Evaluation......Page 59
Related Work......Page 60
Conclusion......Page 61
Introduction......Page 63
Manual Evaluation at TAC......Page 64
The SCU-Labelled Corpus......Page 65
Previous Users of the SCU-Labelled Corpus......Page 67
Maximum Unique SCU Weight......Page 68
Pyramid Evaluation......Page 69
Manual Evaluation......Page 71
Conclusions......Page 73
Motivation......Page 75
GOPubMed......Page 76
MeSH.......Page 77
System Information Flow......Page 78
Indexing.......Page 79
Navigation.......Page 80
Find in MeSH.......Page 81
Usability Study......Page 82
Quantitative Results......Page 83
Limitations......Page 84
Future Work......Page 85
Conclusion......Page 86
Introduction......Page 87
Description Logic ALC......Page 89
Arguments in Description Logic ALC......Page 90
Argumentation Framework for Knowledge Bases......Page 92
Argumentative Semantics......Page 94
Argumentation-Based Reasoning......Page 95
Argumentation-Based Repair......Page 96
Conclusion and the Future Work......Page 97
Introduction......Page 100
Graphical User Interface......Page 102
Implementation......Page 104
Eclipse Components......Page 106
Future Work......Page 109
References......Page 110
Introduction......Page 111
Feed-Forward Neural Network......Page 112
Related Works......Page 113
Dynamic Pricing Algorithm......Page 114
Error Minimization and Price Determination......Page 116
Simple Pricing Algorithm......Page 117
Determine Training Parameters......Page 118
Results......Page 119
Conclusion and Future Work......Page 121
Introduction......Page 123
Basic Definitions......Page 125
Algorithm Design for I-Map Learning......Page 126
Empirical Evaluation of Hybrid Criterion with Standard Search+Score Method......Page 129
Introduction......Page 135
Related Work......Page 136
Feature Partition Model Formulation......Page 137
Estimation of the Finite Mixture Model via the Deterministic Annealing EM Algorithm......Page 138
Model Selection Based on Information Criteria......Page 139
Simulated Annealing with RJMCMC Technique for Finding the Feature Partition......Page 140
Experimental Results and Discussion......Page 141
Conclusion......Page 145
Introduction......Page 147
Naïve Bayes and Enhancement......Page 148
Cascade Learning......Page 149
Customized Classifier......Page 150
Learning Algorithm......Page 151
An Example......Page 154
Experiments......Page 155
Conclusion and Future Work......Page 158
References......Page 159
Introduction......Page 161
Factor Graph and Related Methods......Page 163
Instance-Attribute Graph......Page 164
Probability Propagation Based on Instance-Attribute Graph......Page 165
Experiments......Page 170
Conclusion and Future Works......Page 171
Introduction......Page 173
Handwritten Numeral Recognition and Features......Page 174
GMD-Based Polynomial Neural Network Model......Page 176
Empirical Evaluation......Page 178
Conclusion......Page 181
References......Page 182
Introduction......Page 184
Initialization.......Page 185
Computing the fuzzy indifference relation I(a,bhi).......Page 186
Functionality of PSO.......Page 187
Reduced Variable Neighborhood Search (RVNS)......Page 188
Problem Formulation......Page 189
Application and Analysis of PSOPRO-RVNS......Page 191
Results and Analysis......Page 192
Conclusions......Page 194
Introduction......Page 196
A Formal Definition of the OSPV Problem......Page 197
Searching with Ants......Page 199
The Ant Search Algorithm......Page 200
Experimentation......Page 202
Results and Discussion......Page 203
Conclusion and Further Research......Page 206
References......Page 207
Introduction......Page 208
Related Work......Page 209
Hybrid Traffic Classification Scheme......Page 211
Unigram Payload Model......Page 212
Problem Formulation......Page 214
Experiments......Page 216
Conclusions......Page 218
Introduction......Page 220
Detection of Interdependence......Page 221
Experiment......Page 222
Results......Page 223
Is Independence Ever a Good Model?......Page 225
Which Is Worse?......Page 227
Correlating Performance and Model Complexity......Page 228
Conclusion......Page 230
Introduction......Page 232
Changing an Attribute\'s Influence......Page 234
The Influence of Each Attribute on Accuracy......Page 235
Ranking the Algorithms......Page 237
Discussion and Future Work......Page 240
Conclusions......Page 242
Introduction......Page 244
Product-Based Possibility Theory......Page 245
Possibilistic Causal Networks......Page 246
Belief Revision in Possibilistic Logic......Page 248
Revising by Observations......Page 249
Graphical counterpart of the combination operation.......Page 250
Graphical counterpart of the normalization operation.......Page 251
Revising by Interventions......Page 252
Revising with Sets of Observations......Page 253
Conclusions......Page 254
Introduction......Page 256
 Background and Notation......Page 257
Propositional Data and Relational Data......Page 258
Statistical Relational Learners......Page 259
Probabilistic Relational Models (PRM)......Page 261
Relational Dependency Network (RDN)......Page 262
Bayesian Logic Programming (BLP)......Page 263
Markov Logic Networks (MLN)......Page 264
Limitations of Current Methods and Conclusion......Page 266
Introduction......Page 269
Prepositional Phrase SRL Experiment......Page 270
Combined Holistic SRL Experiment......Page 271
Conclusion......Page 272
Bangla Specific Modules......Page 273
Handling Bangla Compound Words......Page 274
Dataset and Experimental Results......Page 275
Conclusion and Future Work......Page 276
Morphosyntactic Status of Subject Markers......Page 278
Implementation by Means of the Applicative Combinatory Categorial Grammar (ACCG)......Page 280
References......Page 281
Introduction......Page 282
Manual Reordering Rules......Page 283
Dataset and Experimental Results......Page 284
Conclusion......Page 285
Introduction......Page 286
Dataset and Evaluation......Page 287
Feature Score Weighting Results......Page 288
References......Page 289
System Operation......Page 290
Evaluation Metrics......Page 292
Results......Page 293
TextTiling......Page 295
Method......Page 296
Evaluation......Page 297
References......Page 298
Introduction......Page 299
Method......Page 300
Experiments......Page 301
Results......Page 302
References......Page 303
Introduction......Page 304
Annotation Concept Synthesis and Enrichment Analysis......Page 305
Results......Page 306
References......Page 307
Introduction......Page 309
Predictive State Representations......Page 310
Planning under Uncertainty in Real-World Domains......Page 311
Experiments and Results......Page 312
References......Page 313
Definitions......Page 315
Empirical Results......Page 316
Conclusions......Page 318
A Model for Dynamic, Time Critical Scenarios......Page 319
Selection of Experts for Medical Decision Making......Page 321
Discussion......Page 322
Introduction......Page 324
Helpfulness Distribution Discovering Model......Page 325
Data Set......Page 326
Conclusion......Page 327
Introduction......Page 328
Recommendation Based on the Semantic Model......Page 329
Experiment Result......Page 330
References......Page 331
Introduction......Page 332
Implementation and Experimentation......Page 333
References......Page 335
Introduction......Page 336
Proposed Ontology Based Search Model......Page 337
Results and Conclusions......Page 338
References......Page 339
Introduction......Page 340
Dynamic Reasoning for DL ALCN......Page 341
Introduction......Page 344
Deep Distributed News......Page 345
References......Page 347
Introduction......Page 348
Experiments and Discussions......Page 350
Conclusion......Page 351
Commons Game Description......Page 352
Hill Climbing......Page 354
Results and Conclusion......Page 355
Motivation, Definitions, Theoretical Proof of Optimality......Page 357
Practical Use, Experimental Proof, Conclusions......Page 359
Introduction......Page 362
Employing the Restricted Boltzmann Machine......Page 363
Discussion......Page 364
Data Description and Preprocessing......Page 366
Experiment Setup and Results......Page 367
Discussion and Conclusions......Page 368
Introduction......Page 370
Proposed Algorithm......Page 371
Conclusion......Page 372
Basic Concepts and Proposed Algorithm......Page 374
 Experimental Results......Page 376
Conclusions......Page 377
Motivations......Page 379
Rare Event Detection......Page 380
Summary and Future Work......Page 381
Introduction......Page 384
Offline Coverage......Page 385
Communication......Page 386
Introduction......Page 388
Rhetorical Relations in Blog Summarization......Page 389
Content Organization......Page 390
Conclusion and Future Work......Page 391
Content Sequencing......Page 393
Annotation......Page 394
Plan for Research......Page 395
Introduction......Page 397
The Curse of Dimensionality Problem......Page 398
Sketch Based Anonymization......Page 399
Conclusion......Page 400
Introduction......Page 401
Preliminary Experimentation......Page 402
Conclusion......Page 403
Introduction......Page 405
The Novel Age Estimation Approach......Page 406
The Familial Aging Face Database......Page 407
References......Page 408
The Methodology......Page 410
Progress so Far......Page 411
Privacy Preserving Publication of Longitudinal Health Data......Page 412
The Problem, Plan of Research and Current Work......Page 414
BNOSA Framework and Results......Page 416
References......Page 418
Trustworthiness Thresholding......Page 419
Advisor Referrals......Page 420
Problem Statement......Page 422
Research Status......Page 423