Advances in Artificial Intelligence

1. Front Matter

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2. Long Papers

   1. Logo Recognition Based on the Dempster-Shafer Fusion of Multiple Classifiers

      • Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera

      Pages 1-12

   2. d-Separation: Strong Completeness of Semantics in Bayesian Network Inference

      • Cory J. Butz, Wen Yan, Anders L. Madsen

      Pages 13-24

   3. Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools

      • Kambiz Ghazinour, Marina Sokolova, Stan Matwin

      Pages 25-39

   4. Move Pruning and Duplicate Detection

      • Robert C. Holte

      Pages 40-51

   5. Protocol Verification in a Theory of Action

      • Aaron Hunter, James P. Delgrande, Ryan McBride

      Pages 52-63

   6. Identifying Explicit Discourse Connectives in Text

      • Syeed Ibn Faiz, Robert E. Mercer

      Pages 64-76

   7. Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques

      • Ramakanth Kavuluru, Sifei Han, Daniel Harris

      Pages 77-88

   8. Maintaining Preference Networks That Adapt to Changing Preferences

      • Ki Hyang Lee, Scott Buffett, Michael W. Fleming

      Pages 89-99

   9. Fast Grid-Based Path Finding for Video Games

      • William Lee, Ramon Lawrence

      Pages 100-111

   10. Detecting Statistically Significant Temporal Associations from Multiple Event Sequences

       • Han Liang, Jörg Sander

       Pages 112-125

   11. Selective Retrieval for Categorization of Semi-structured Web Resources

       • Marek Lipczak, Tomasz Niewiarowski, Vlado Keselj, Evangelos Milios

       Pages 126-137

   12. Navigation by Path Integration and the Fourier Transform: A Spiking-Neuron Model

       • Jeff Orchard, Hao Yang, Xiang Ji

       Pages 138-149

   13. Feature Combination for Sentence Similarity

       • Ehsan Shareghi, Sabine Bergler

       Pages 150-161

   14. Exhaustive Search with Belief Discernibility Matrix and Function

       • Salsabil Trabelsi, Zied Elouedi, Pawan Lingras

       Pages 162-173

   15. Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets

       • Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu

       Pages 174-186

   16. Boundary Set Based Existence Recognition and Construction of Hypertree Agent Organization

       • Yang Xiang, Kamala Srinivasan

       Pages 187-198

   17. Construction of Privacy Preserving Hypertree Agent Organization as Distributed Maximum Spanning Tree

       • Yang Xiang, Kamala Srinivasan

       Pages 199-210

3. Short Papers

   1. The K-Modes Method under Possibilistic Framework

      • Asma Ammar, Zied Elouedi, Pawan Lingras

      Pages 211-217

   2. Quantitative Aspects of Behaviour Network Verification

      • Christopher Armbrust, Thorsten Ropertz, Lisa Kiekbusch, Karsten Berns

      Pages 218-225

This book constitutes the refereed proceedings of the 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, held in Regina, SK, Canada, in May 2013. The 17 regular papers and 15 short papers presented were carefully reviewed and selected from 73 initial submissions and are accompanied by 8 papers from the Graduate Student Symposium that were selected from 14 submissions. The papers cover a variety of topics within AI, such as: information extraction, knowledge representation, search, text mining, social networks, temporal associations.

• decision making
• multiagent systems
• natural language processing
• semantic processing
• statistical machine translation

• University of Alberta, Edmonton, Canada

  Osmar R. Zaïane

• Department of Computer Science, University of Regina, Canada

  Sandra Zilles

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