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AI 2009: Advances in Artificial Intelligence

22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009, Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Ann Nicholson

    1. Clayton School of Information Technology, Monash University, Clayton, Australia

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  2. Xiaodong Li

    1. School of Computer Science and Information Technology, RMIT University, Melbourne, Australia

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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 5866)

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

Included in the following conference series:

Conference proceedings info: AI 2009.

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Table of contents (68 papers)

  1. Computer Vision and Image Processing

    1. Face Image Enhancement via Principal Component Analysis

      • Deqiang Yang, Tianwei Xu, Rongfang Yang, Wanquan Liu
      Pages 190-198

  2. Data Mining and Statistical Learning

    1. On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps

      • César A. Astudillo, B. John Oommen
      Pages 199-209

    2. Topic-Based Computing Model for Web Page Popularity and Website Influence

      • Song Gao, Yajie Miao, Liu Yang, Chunping Li
      Pages 210-219

    3. Classifying Multiple Imbalanced Attributes in Relational Data

      • Amal S. Ghanem, Svetha Venkatesh, Geoff West
      Pages 220-229

    4. Algorithms for the Computation of Reduced Convex Hulls

      • Ben Goodrich, David Albrecht, Peter Tischer
      Pages 230-239

    5. Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data

      • Yi Guo, Junbin Gao, Paul W. Kwan
      Pages 240-249

    6. Incremental E-Mail Classification and Rule Suggestion Using Simple Term Statistics

      • Alfred Krzywicki, Wayne Wobcke
      Pages 250-259

    7. The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification

      • Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
      Pages 260-269

    8. Using Topic Models to Interpret MEDLINE’s Medical Subject Headings

      • David Newman, Sarvnaz Karimi, Lawrence Cavedon
      Pages 270-279

    9. A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling

      • Uyen T. V. Nguyen, Laurence A. F. Park, Liang Wang, Kotagiri Ramamohanarao
      Pages 280-290

    10. Ensemble Approach for the Classification of Imbalanced Data

      • Vladimir Nikulin, Geoffrey J. McLachlan, Shu Kay Ng
      Pages 291-300

    11. Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis

      • Laurence A. F. Park, Christopher A. Leckie, Kotagiri Ramamohanarao, James C. Bezdek
      Pages 301-311

    12. MML Invariant Linear Regression

      • Daniel F. Schmidt, Enes Makalic
      Pages 312-321

    13. DMCS: Dual-Model Classification System and Its Application in Medicine

      • Qun Song, Ruihua Weng, Fengyu Weng
      Pages 322-329

    14. A Graph Distance Based Structural Clustering Approach for Networks

      • Xin Su, Chunping Li
      Pages 330-339

    15. Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks

      • Peter Vamplew, Richard Dazeley, Ewan Barker, Andrei Kelarev
      Pages 340-349

    16. Enhancing MML Clustering Using Context Data with Climate Applications

      • Gerhard Visser, David L. Dowe, Petteri Uotila
      Pages 350-359

  3. Evolutionary Computing

    1. CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning

      • Mani Abedini, Michael Kirley
      Pages 360-369

    2. Multi-Objective Genetic Programming for Classification with Unbalanced Data

      • Urvesh Bhowan, Mengjie Zhang, Mark Johnston
      Pages 370-380

    3. Scheduling for the National Hockey League Using a Multi-objective Evolutionary Algorithm

      • Sam Craig, Lyndon While, Luigi Barone
      Pages 381-390
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Other volumes

  1. AI 2009: Advances in Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence, AI 2009, held in Melbourne, Australia, in December 2009. The 68 revised full papers presented were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on agents; AI applications; computer vision and image processing; data mining and statistical learning; evolutionary computing; game playing; knowledge representation and reasoning; natural language and speech processing; soft computing; and user modelling.

Editors and Affiliations

  • Clayton School of Information Technology, Monash University, Clayton, Australia

    Ann Nicholson

  • School of Computer Science and Information Technology, RMIT University, Melbourne, Australia

    Xiaodong Li

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