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Advances in Artificial Intelligence

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

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Atefeh Farzindar

    1. NLP Technologies Inc., Montreal, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Vlado Kešelj

    1. Dalhousie University, Faculty of Computer Science, Nova Scotia, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6085)

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

Included in the following conference series:

Conference proceedings info: Canadian AI 2010.

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Table of contents (63 papers)

  1. Front Matter

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  3. Regular Papers

    1. Text Classification

      1. Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions
        • Baoli Li, Carl Vogel
        Pages 4-15
      2. Offensive Language Detection Using Multi-level Classification
        • Amir H. Razavi, Diana Inkpen, Sasha Uritsky, Stan Matwin
        Pages 16-27
      3. A Three-Way Decision Approach to Email Spam Filtering
        • Bing Zhou, Yiyu Yao, Jigang Luo
        Pages 28-39
      4. Hierarchical Approach to Emotion Recognition and Classification in Texts
        • Diman Ghazi, Diana Inkpen, Stan Szpakowicz
        Pages 40-50

    2. Text Summarization and IR

      1. Supervised Machine Learning for Summarizing Legal Documents
        • Mehdi Yousfi-Monod, Atefeh Farzindar, Guy Lapalme
        Pages 51-62
      2. Toward a Gold Standard for Extractive Text Summarization
        • Alistair Kennedy, Stan Szpakowicz
        Pages 63-74
      3. MeSH Represented MEDLINE Query Results
        • Pif Edwards, Vlado Kešelj
        Pages 75-86

    3. Reasoning and E-Commerce

      1. Argumentation-Based Reasoning with Inconsistent Knowledge Bases
        • Xiaowang Zhang, Zhihu Zhang, Dai Xu, Zuoquan Lin
        Pages 87-99
      2. Finding a Single, All, or the Most Probable Solution to a Finite or Non-finite Interval Algebra Network
        • André Trudel
        Pages 100-110
      3. A Dynamic Pricing Approach in E-Commerce Based on Multiple Purchase Attributes
        • Tapu Kumar Ghose, Thomas T. Tran
        Pages 111-122

    4. Probabilistic Machine Learning

      1. The <span class="u-small-caps">IMAP</span> Hybrid Method for Learning Gaussian Bayes Nets
        • Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi
        Pages 123-134
      2. Feature Subset-Wise Mixture Model-Based Clustering via Local Search Algorithm
        • Younghwan Namkoong, Yongsung Joo, Douglas D. Dankel II
        Pages 135-146
      3. Cascading Customized Naïve Bayes Couple
        • Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar
        Pages 147-160
      4. Semi-supervised Probability Propagation on Instance-Attribute Graphs
        • Bin Wang, Harry Zhang
        Pages 161-172

    5. Neural Networks and Swarm Optimization

      1. Offline Recognition of Handwritten Numeral Characters with Polynomial Neural Networks Using Topological Features
        • El-Sayed M. El-Alfy
        Pages 173-183
      2. Automatic Parameter Settings for the PROAFTN Classifier Using Hybrid Particle Swarm Optimization
        • Feras Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti
        Pages 184-195
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Other volumes

  1. Advances in Artificial Intelligence

Keywords

Editors and Affiliations

  • NLP Technologies Inc., Montreal, Canada

    Atefeh Farzindar

  • Dalhousie University, Faculty of Computer Science, Nova Scotia, Canada

    Vlado Kešelj

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