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AI 2011: Advances in Artificial Intelligence

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

  • Dianhui Wang
  • Mark Reynolds
Conference proceedings AI 2011

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7106)

Table of contents

  1. Front Matter
    PDF

  2. Session 1: Data Mining and Knowledge Discovery

    1. Guided Rule Discovery in XCS for High-Dimensional Classification Problems
      Mani Abedini, Michael Kirley
      Pages 1-10
    2. Motif-Based Method for Initialization the K-Means Clustering for Time Series Data
      Le Phu, Duong Tuan Anh
      Pages 11-20
    3. Semi-Supervised Classification Using Tree-Based Self-Organizing Maps
      César A. Astudillo, B. John Oommen
      Pages 21-30
    4. The Discovery and Use of Ordinal Information on Attribute Values in Classifier Learning
      Alex Berry, Mike Cameron-Jones
      Pages 31-40
    5. Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data
      Luke Bjerring, Eibe Frank
      Pages 41-50
    6. Automatically Measuring the Quality of User Generated Content in Forums
      Kevin Chai, Chen Wu, Vidyasagar Potdar, Pedram Hayati
      Pages 51-60
    7. Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features
      Joseph Paul Cohen, Siyi Liu, Wei Ding
      Pages 61-71
    8. Penalized Least Squares for Smoothing Financial Time Series
      Adrian Letchford, Junbin Gao, Lihong Zheng
      Pages 72-81
    9. Logistic Regression with the Nonnegative Garrote
      Enes Makalic, Daniel F. Schmidt
      Pages 82-91
    10. Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets
      Alexandre Mendes
      Pages 92-101
    11. Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory
      Nizamul Morshed, Madhu Chetty
      Pages 102-111
    12. A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps
      Benjamin Peherstorfer, Dirk Pflüger, Hans-Joachim Bungartz
      Pages 112-121
    13. Distribution Based Data Filtering for Financial Time Series Forecasting
      Goce Ristanoski, James Bailey
      Pages 122-131
    14. Sequential Feature Selection for Classification
      Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt
      Pages 132-141
    15. Long-Tail Recommendation Based on Reflective Indexing
      Andrzej Szwabe, Michal Ciesielczyk, Pawel Misiorek
      Pages 142-151
    16. Author Name Disambiguation for Ranking and Clustering PubMed Data Using NetClus
      Arvin Varadharajalu, Wei Liu, Wilson Wong
      Pages 152-161
    17. Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management
      Kumari Wickramasinghe, Damminda Alahakoon, Peter Schattner, Michael Georgeff
      Pages 162-171
    18. Distance-Based Feature Selection on Classification of Uncertain Objects
      Lei Xu, Edward Hung
      Pages 172-181

  3. Session 2: Machine Learning

    1. Closure Spaces of Isotone Galois Connections and Their Morphisms
      Radim Belohlavek, Jan Konecny
      Pages 182-191
    2. Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data
      Urvesh Bhowan, Mark Johnston, Mengjie Zhang
      Pages 192-202
    3. Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs
      Masakazu Ishihata, Taisuke Sato, Shin-ichi Minato
      Pages 203-212
    4. An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution
      Guohua Liang, Xingquan Zhu, Chengqi Zhang
      Pages 213-222
    5. A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems
      Enes Makalic, Daniel F. Schmidt
      Pages 223-230
    6. Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method
      Bernhard Pfahringer
      Pages 231-240
    7. Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold
      Duc-Son Pham, Svetha Venkatesh
      Pages 241-250
    8. Bagging Ensemble Selection
      Quan Sun, Bernhard Pfahringer
      Pages 251-260
    9. Augmented Spatial Pooling
      John Thornton, Andrew Srbic, Linda Main, Mahsa Chitsaz
      Pages 261-270

  4. 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

  5. Session 4: Intelligent Agent Systems

    1. Coordinated Learning for Loosely Coupled Agents with Sparse Interactions
      Chao Yu, Minjie Zhang, Fenghui Ren
      Pages 392-401
    2. TATM: A Trust Mechanism for Social Traders in Double Auctions
      Jacob Dumesny, Tim Miller, Michael Kirley, Liz Sonenberg
      Pages 402-411
    3. Sequential Single-Cluster Auctions for Robot Task Allocation
      Bradford Heap, Maurice Pagnucco
      Pages 412-421
    4. Correlation between Genetic Diversity and Fitness in a Predator-Prey Ecosystem Simulation
      Marwa Khater, Elham Salehi, Robin Gras
      Pages 422-431
    5. Is Revision a Special Kind of Update?
      Abhaya C. Nayak
      Pages 432-441
    6. A Parallel, Multi-issue Negotiation Model in Dynamic E-Markets
      Fenghui Ren, Minjie Zhang, Xudong Luo, Danny Soetanto
      Pages 442-451
    7. Parallel Monte Carlo Tree Search Scalability Discussion
      Kamil Rocki, Reiji Suda
      Pages 452-461
    8. How Questions Guide Choices: A Preliminary Logical Investigation
      Zuojun Xiong, Jeremy Seligman
      Pages 462-471

  6. Session 5: Logic and Reasoning

    1. A Defeasible Logic for Clauses
      David Billington
      Pages 472-480
    2. Applying Multiple Classification Ripple Round Rules to a Complex Configuration Task
      Ivan Bindoff, Byeong Ho Kang
      Pages 481-490

About these proceedings

Introduction

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.

Keywords

Web-based testing ant colony optimization computational complexity evolutionary algorithms multi-swarm system

Editors and affiliations

  • Dianhui Wang
    • 1
  • Mark Reynolds
    • 2
  1. 1.School of Engineering and Mathematical SciencesLa Trobe UniversityMelbourneAustralia
  2. 2.School of Computer Science and Software EngineeringThe University of Western AustraliaPerthAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-25832-9
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-25831-2
  • Online ISBN 978-3-642-25832-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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