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Advances in Artificial Intelligence

22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009 Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Yong Gao

    1. Department of Computer Science Irving K. Barber School of Arts and Sciences, University of British Columbia Okanagan, Kelowna, British Columbia, Canada

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  2. Nathalie Japkowicz

    1. School of Information Technology & Engineering, University of Ottawa, Stn. A, Ottawa, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5549)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: Canadian AI 2009.

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Table of contents (45 papers)

  1. Front Matter

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  2. Invited Talks

    1. AI in Web Advertising: Picking the Right Ad Ten Thousand Times a Second

      • Evgeniy Gabrilovich
      Pages 1-1

    2. Living with Constraints

      • Alan K. Mackworth
      Pages 2-2

    3. Computer (and Human) Perfection at Checkers

      • Jonathan Schaeffer
      Pages 3-3

  3. Regular Papers

    1. Decision Tree Learning Using a Bayesian Approach at Each Node

      • Mirela Andronescu, Mark Brodie
      Pages 4-15

    2. Generating Satisfiable SAT Instances Using Random Subgraph Isomorphism

      • Cǎlin Anton, Lane Olson
      Pages 16-26

    3. Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment

      • Julien Bourdaillet, Stéphane Huet, Fabrizio Gotti, Guy Lapalme, Philippe Langlais
      Pages 27-38

    4. Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports

      • Matthew Butler, Vlado Kešelj
      Pages 39-51

    5. Statistical Parsing with Context-Free Filtering Grammar

      • Michael Demko, Gerald Penn
      Pages 52-63

    6. Machine Translation of Legal Information and Its Evaluation

      • Atefeh Farzindar, Guy Lapalme
      Pages 64-73

    7. An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering

      • Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri, Ali A. Ghorbani
      Pages 74-85

    8. Cost-Based Sampling of Individual Instances

      • William Klement, Peter Flach, Nathalie Japkowicz, Stan Matwin
      Pages 86-97

    9. Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model

      • Daniel Pomerantz, Gregory Dudek
      Pages 98-109

    10. Automatic Frame Extraction from Sentences

      • Martin Scaiano, Diana Inkpen
      Pages 110-120

    11. Control of Constraint Weights for a 2D Autonomous Camera

      • Md. Shafiul Alam, Scott D. Goodwin
      Pages 121-132

    12. Training Global Linear Models for Chinese Word Segmentation

      • Dong Song, Anoop Sarkar
      Pages 133-145

    13. A Concurrent Dynamic Logic of Knowledge, Belief and Certainty for Multi-agent Systems

      • Lijun Wu, Jinshu Su, Xiangyu Luo, Zhihua Yang, Qingliang Chen
      Pages 146-157

    14. Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition

      • Yang Xiang, Zoe Jingyu Zhu, Yu Li
      Pages 158-170

    15. Compiling the Lexicographic Inference Using Boolean Cardinality Constraints

      • Safa Yahi, Salem Benferhat
      Pages 171-182

  4. Short Papers

    1. Improving Document Search Using Social Bookmarking

      • Hamidreza Baghi, Yevgen Biletskiy
      Pages 183-186
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Other volumes

  1. Advances in Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the 22st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2009, held in Windsor, Canada, in May 2008. The 30 revised full papers presented together with 5 revised short papers and 8 papers from the graduate student symposium 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.

Editors and Affiliations

  • Department of Computer Science Irving K. Barber School of Arts and Sciences, University of British Columbia Okanagan, Kelowna, British Columbia, Canada

    Yong Gao

  • School of Information Technology & Engineering, University of Ottawa, Stn. A, Ottawa, Canada

    Nathalie Japkowicz

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