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AI 2011: Advances in Artificial Intelligence

24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011, Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Dianhui Wang

    1. School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia

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  2. Mark Reynolds

    1. School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia

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    You can also search for this editor in PubMed   Google Scholar

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7106)

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

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Conference proceedings info: AI 2011.

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Table of contents (82 papers)

  1. Session 2: Machine Learning

    1. Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data

      • Urvesh Bhowan, Mark Johnston, Mengjie Zhang
      Pages 192-202

    2. Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs

      • Masakazu Ishihata, Taisuke Sato, Shin-ichi Minato
      Pages 203-212

    3. An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution

      • Guohua Liang, Xingquan Zhu, Chengqi Zhang
      Pages 213-222

    4. A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems

      • Enes Makalic, Daniel F. Schmidt
      Pages 223-230

    5. Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method

      • Bernhard Pfahringer
      Pages 231-240

    6. Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold

      • Duc-Son Pham, Svetha Venkatesh
      Pages 241-250

    7. Bagging Ensemble Selection

      • Quan Sun, Bernhard Pfahringer
      Pages 251-260

    8. Augmented Spatial Pooling

      • John Thornton, Andrew Srbic, Linda Main, Mahsa Chitsaz
      Pages 261-270

  2. Session 3: Evolutionary Computation and Optimization

    1. An Analysis of Sub-swarms in Multi-swarm Systems

      • Antonio Bolufé Röhler, Stephen Chen
      Pages 271-280

    2. A Simple Strategy to Maintain Diversity and Reduce Crowding in Particle Swarm Optimization

      • Stephen Chen, James Montgomery
      Pages 281-290

    3. Weighted Preferences in Evolutionary Multi-objective Optimization

      • Tobias Friedrich, Trent Kroeger, Frank Neumann
      Pages 291-300

    4. Genetic Programming for Edge Detection Based on Accuracy of Each Training Image

      • Wenlong Fu, Mark Johnston, Mengjie Zhang
      Pages 301-310

    5. Improving Robustness of Multiple-Objective Genetic Programming for Object Detection

      • Rachel Hunt, Mark Johnston, Mengjie Zhang
      Pages 311-320

    6. DE/isolated/1: A New Mutation Operator for Multimodal Optimization with Differential Evolution

      • Takahiro Otani, Reiji Suzuki, Takaya Arita
      Pages 321-330

    7. The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem

      • Tirtha R. Ranjeet, Martin Masek, Philip Hingston, Chiou-Peng Lam
      Pages 331-340

    8. Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming

      • Aaron Scoble, Mark Johnston, Mengjie Zhang
      Pages 341-350

    9. Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization

      • Siwei Jiang, Jie Zhang, Yew Soon Ong
      Pages 351-360

    10. Convergence of a Recombination-Based Elitist Evolutionary Algorithm on the Royal Roads Test Function

      • Aram Ter-Sarkisov, Stephen Marsland
      Pages 361-371

    11. Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization

      • Jingxuan Wei, Mengjie Zhang
      Pages 372-381

    12. Color Quantization Using Modified Artificial Fish Swarm Algorithm

      • Danial Yazdani, Hadi Nabizadeh, Elyas Mohamadzadeh Kosari, Adel Nadjaran Toosi
      Pages 382-391
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Other volumes

  1. AI 2011: Advances in Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the 24th Australasian Joint Conference on Artificial Intelligence, AI 2011, held in Perth, Australia, in December 2011. The 82 revised full papers presented were carefully reviewed and selected from 193 submissions. The papers are organized in topical sections on data mining and knowledge discovery, machine learning, evolutionary computation and optimization, intelligent agent systems, logic and reasoning, vision and graphics, image processing, natural language processing, cognitive modeling and simulation technology, and AI applications.

Editors and Affiliations

  • School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia

    Dianhui Wang

  • School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia

    Mark Reynolds

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