Advances in Artificial Intelligence

1. Front Matter

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2. Local Decision Bagging of Binary Neural Classifiers

   • Rocío Alaiz-Rodríguez

   Pages 1-12

3. Assessing the Impact of Changing Environments on Classifier Performance

   • Rocío Alaiz-Rodríguez, Nathalie Japkowicz

   Pages 13-24

4. A Comparison of Sentiment Analysis Techniques: Polarizing Movie Blogs

   • Michelle Annett, Grzegorz Kondrak

   Pages 25-35

5. Some Simplified Forms of Reasoning with Distance-Based Entailments

   • Ofer Arieli, Anna Zamansky

   Pages 36-47

6. A Belief-Theoretic Reputation Estimation Model for Multi-context Communities

   • Ebrahim Bagheri, M. Barouni-Ebrahimi, Reza Zafarani, Ali A. Ghorbani

   Pages 48-59

7. A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals

   • M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorbani

   Pages 60-65

8. Multi-agent Framework for a Virtual Enterprise of Demand-Responsive Transportation

   • Daniel Cabrera, Claudio Cubillos

   Pages 66-71

9. Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning

   • Alan Davoust, Michael W. Floyd, Babak Esfandiari

   Pages 72-83

10. Aspects of Inconsistency Resolution in Modular Ontologies

    • Faezeh Ensan, Weichang Du

    Pages 84-95

11. Fast Markov Blanket Discovery Algorithm Via Local Learning within Single Pass

    • Shunkai Fu, Michel C. Desmarais

    Pages 96-107

12. Finding Topics in Email Using Formal Concept Analysis and Fuzzy Membership Functions

    • Liqiang Geng, Larry Korba, Yunli Wang, Xin Wang, Yonghua You

    Pages 108-113

13. Recognizing Biomedical Named Entities in Chinese Research Abstracts

    • Baohua Gu, Fred Popowich, Veronica Dahl

    Pages 114-125

14. Point-Based Planning for Predictive State Representations

    • Masoumeh T. Izadi, Doina Precup

    Pages 126-137

15. Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification

    • Łukasz Jeleń, Adam Krzyżak, Thomas Fevens

    Pages 138-149

16. Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks

    • Karen H. Jin, Dan Wu

    Pages 150-162

17. Using Dependence Diagrams to Summarize Decision Rule Sets

    • Kamran Karimi, Howard J. Hamilton

    Pages 163-172

18. A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes

    • Sang-Woon Kim, B. John Oommen

    Pages 173-184

19. A Reputation Model Framework for Artificial Societies: A Case Study in Child Vehicle Safety Simulation

    • Ziad Kobti, Shamual Rahaman, Anne W. Snowdon, Robert D. Kent

    Pages 185-190

20. Selective Sampling for Classification

    • François Laviolette, Mario Marchand, Sara Shanian

    Pages 191-202

This book constitutes the refereed proceedings of the 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, held in Windsor, Canada, in May 2008. The 30 revised full papers presented together with 5 revised short papers were carefully reviewed and selected from 75 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI techniques to modern problem domains as well as recent techniques to historical problem settings.

• AI
• AI planning
• Biometrics
• algorithmic learning
• algorithms
• artificial intelligence
• case based reasoning
• case-based reasoning
• constraint satisfaction
• cultural algorithms
• face recognition
• learning
• machine learning
• ontology
• speech processing

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