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AI 2008: Advances in Artificial Intelligence

21st Australasian Joint Conference on Artificial Intelligence Auckland, New Zealand, December 1-5, 2008. Proceedings

  • Wayne Wobcke
  • Mengjie Zhang
Conference proceedings AI 2008

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5360)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5360)

Table of contents

  1. Front Matter
    PDF

  2. Invited Paper

    1. Stereo-Vision-Support for Intelligent Vehicles - The Need for Quantified Evidence
      Reinhard Klette
      Pages 1-17

  3. Knowledge Representation

    1. Introspective Forgetting
      Hans van Ditmarsch, Andreas Herzig, Jérôme Lang, Pierre Marquis
      Pages 18-29
    2. A Fixed-Point Property of Logic-Based Bargaining Solution
      Dongmo Zhang
      Pages 30-41
    3. Re-representation in a Logic-Based Model for Analogy Making
      Ulf Krumnack, Helmar Gust, Kai-Uwe Kühnberger, Angela Schwering
      Pages 42-48
    4. Knowledge Generation for Improving Simulations in UCT for General Game Playing
      Shiven Sharma, Ziad Kobti, Scott Goodwin
      Pages 49-55
    5. Propositional Automata and Cell Automata: Representational Frameworks for Discrete Dynamic Systems
      Eric Schkufza, Nathaniel Love, Michael Genesereth
      Pages 56-66
    6. Constructing Web Corpora through Topical Web Partitioning for Term Recognition
      Wilson Wong, Wei Liu, Mohammed Bennamoun
      Pages 67-78
    7. An Ontology Formalization of Relation Type Hierarchy in Conceptual Structure Theory
      Philip H. P. Nguyen, Ken Kaneiwa, Dan R. Corbett, Minh-Quang Nguyen
      Pages 79-85
    8. Exploiting Ontological Structure for Complex Preference Assembly
      Gil Chamiel, Maurice Pagnucco
      Pages 86-92

  4. Constraints

    1. A Refutation Approach to Neighborhood Interchangeability in CSPs
      Chavalit Likitvivatanavong, Roland H. C. Yap
      Pages 93-103
    2. Infeasibility Driven Evolutionary Algorithm (IDEA) for Engineering Design Optimization
      Hemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren Smith
      Pages 104-115
    3. Constraint-Based Multi-agent Path Planning
      Malcolm Ryan
      Pages 116-127

  5. Planning

    1. An Optimality Principle for Concurrent Systems
      Langford B. White, Sarah L. Hickmott
      Pages 128-137
    2. Partial Order Hierarchical Reinforcement Learning
      Bernhard Hengst
      Pages 138-149
    3. Optimal Global Path Planning in Time Varying Environments Based on a Cost Evaluation Function
      Om K. Gupta, Ray A. Jarvis
      Pages 150-156

  6. Grammar and Language Processing

    1. Using Probabilistic Feature Matching to Understand Spoken Descriptions
      Ingrid Zukerman, Enes Makalic, Michael Niemann
      Pages 157-167
    2. Working for Two: A Bidirectional Grammar for a Controlled Natural Language
      Rolf Schwitter
      Pages 168-179
    3. Improving Metrical Grammar with Grammar Expansion
      Makoto Tanji, Daichi Ando, Hitoshi Iba
      Pages 180-191
    4. FrameNet-Based Fact-Seeking Answer Processing: A Study of Semantic Alignment Techniques and Lexical Coverage
      Bahadorreza Ofoghi, John Yearwood, Liping Ma
      Pages 192-201
    5. Learning to Find Relevant Biological Articles without Negative Training Examples
      Keith Noto, Milton H. Saier Jr., Charles Elkan
      Pages 202-213
    6. Humor Prevails! - Implementing a Joke Generator into a Conversational System
      Pawel Dybala, Michal Ptaszynski, Shinsuke Higuchi, Rafal Rzepka, Kenji Araki
      Pages 214-225

  7. Statistical Learning

    1. Improving Transductive Support Vector Machine by Ensembling
      Tao Li, Yang Zhang
      Pages 226-235
    2. Kernels Based on Distributions of Agreement Subtrees
      Kilho Shin, Tetsuji Kuboyama
      Pages 236-246
    3. Practical Bias Variance Decomposition
      Remco R. Bouckaert
      Pages 247-257
    4. Using Gaussian Processes to Optimize Expensive Functions
      Marcus Frean, Phillip Boyle
      Pages 258-267
    5. Discriminant Analysis Methods for Microarray Data Classification
      Chuanliang Chen, Yun-Chao Gong, Rongfang Bie
      Pages 268-277
    6. Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
      Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes
      Pages 278-288

  8. Machine Learning

    1. Improving Promoter Prediction Using Multiple Instance Learning
      P. J. Uren, R. M. Cameron-Jones, A. H. J. Sale
      Pages 289-299
    2. Revisiting Multiple-Instance Learning Via Embedded Instance Selection
      James Foulds, Eibe Frank
      Pages 300-310
    3. Decision Tree Induction from Numeric Data Stream
      Satoru Nishimura, Masahiro Terabe, Kazuo Hashimoto
      Pages 311-317
    4. L1 LASSO Modeling and Its Bayesian Inference
      Junbin Gao, Michael Antolovich, Paul W. Kwan
      Pages 318-324
    5. Discriminating Against New Classes: One-class versus Multi-class Classification
      Kathryn Hempstalk, Eibe Frank
      Pages 325-336
    6. Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method
      Yan Li, Edward Hung, Korris Chung, Joshua Huang
      Pages 337-347
    7. Locality Spectral Clustering
      Yun-Chao Gong, Chuanliang Chen
      Pages 348-354
    8. Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search
      Xing Wu, Geoffrey Holmes, Bernhard Pfahringer
      Pages 355-361
    9. Cross-Domain Knowledge Transfer Using Semi-supervised Classification
      Yi Zhen, Chunping Li
      Pages 362-371
    10. On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts
      Peter Vamplew, John Yearwood, Richard Dazeley, Adam Berry
      Pages 372-378
    11. An Approach for Generalising Symbolic Knowledge
      Richard Dazeley, Byeong-Ho Kang
      Pages 379-385
    12. Single-Cycle Image Recognition Using an Adaptive Granularity Associative Memory Network
      Anang Hudaya Muhamad Amin, Asad I. Khan
      Pages 386-392

  9. Data Mining

    1. Combined Pattern Mining: From Learned Rules to Actionable Knowledge
      Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
      Pages 393-403
    2. Efficient Single-Pass Mining of Weighted Interesting Patterns
      Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer, Byeong-Soo Jeong, Young-Koo Lee
      Pages 404-415
    3. Pattern Taxonomy Mining for Information Filtering
      Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y. K. Lau
      Pages 416-422
    4. An AI-Based Causal Strategy for Securing Statistical Databases Using Micro-aggregation
      B. John Oommen, Ebaa Fayyoumi
      Pages 423-434
    5. Additive Regression Applied to a Large-Scale Collaborative Filtering Problem
      Eibe Frank, Mark Hall
      Pages 435-446
    6. A Novel Recommending Algorithm Based on Topical PageRank
      Liyan Zhang, Chunping Li
      Pages 447-453
    7. DynamicWEB: Adapting to Concept Drift and Object Drift in COBWEB
      Joel Scanlan, Jacky Hartnett, Raymond Williams
      Pages 454-460

  10. Knowledge Discovery

    1. L-Diversity Based Dynamic Update for Large Time-Evolving Microdata
      Xiaoxun Sun, Hua Wang, Jiuyong Li
      Pages 461-469
    2. Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks
      Huidong Jin, Olivier de Vel, Ke Zhang, Nianjun Liu
      Pages 470-481
    3. Detecting the Knowledge Boundary with Prudence Analysis
      Richard Dazeley, Byeong-Ho Kang
      Pages 482-488

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 21th Australasian Joint Conference on Artificial Intelligence, AI 2008, held in Auckland, New Zealand, in December 2008.

The 42 revised full papers and 21 revised short papers presented together with 1 invited lecture were carefully reviewed and selected from 143 submissions. The papers are organized in topical sections on knowledge representation, constraints, planning, grammar and language processing, statistical learning, machine learning, data mining, knowledge discovery, soft computing, vision and image processing, and AI applications.

Keywords

Constraint artificial intelligence data mining image processing intelligence knowledge knowledge discovery knowledge representation learning machine learning

Editors and affiliations

  • Wayne Wobcke
    • 1
  • Mengjie Zhang
    • 2
  1. 1.Wales, School of Computer Science and Engineering,University of New SouthSydneyAustralia
  2. 2.School of Mathematics, Statistics and Computer ScienceVictoria University of WellingtonWellingtonNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-89378-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-89377-6
  • Online ISBN 978-3-540-89378-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site