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AI 2007: Advances in Artificial Intelligence

20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Mehmet A. Orgun
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  2. John Thornton
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4830)

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

Included in the following conference series:

Conference proceedings info: AI 2007.

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Table of contents (101 papers)

  1. Front Matter

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  3. Machine Learning

    1. Efficient Learning of Bayesian Network Classifiers

      • Alexandra M. Carvalho, Arlindo L. Oliveira, Marie-France Sagot
      Pages 16-25

    2. Mixture of the Robust L1 Distributions and Its Applications

      • Junbin Gao, Richard Y. Xu
      Pages 26-35

    3. On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems

      • Ole-Christoffer Granmo, B. John Oommen
      Pages 36-47

    4. An Investigation into the Interaction Between Feature Selection and Discretization: Learning How and When to Read Numbers

      • Sumukh Ghodke, Timothy Baldwin
      Pages 48-57

    5. Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning

      • Bernhard Hengst
      Pages 58-67

    6. Local Learning Algorithm for Markov Blanket Discovery

      • Shunkai Fu, Michel Desmarais
      Pages 68-79

    7. A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data

      • Feng Liu, Fengzhan Tian, Qiliang Zhu
      Pages 80-89

    8. New Options for Hoeffding Trees

      • Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
      Pages 90-99

  4. Neural Networks

    1. Avoiding Local Minima in Feedforward Neural Networks by Simultaneous Learning

      • Akarachai Atakulreka, Daricha Sutivong
      Pages 100-109

    2. Some Analysis on the Network of Bursting Neurons: Quantifying Behavioral Synchronization

      • Dragos Calitoiu, John B. Oommen, Doron Nussbaum
      Pages 110-119

    3. Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV

      • Vishwas Puttige, Sreenatha Anavatti, Tapabrata Ray
      Pages 120-129

    4. Prediction of Polysomnographic Measurements

      • S. I. Rathnayake, Udantha R. Abeyratne
      Pages 130-139

  5. Evolutionary Computing

    1. An Adaptive Approach for QoS-Aware Web Service Composition Using Cultural Algorithms

      • Ziad Kobti, Wang Zhiyang
      Pages 140-149

    2. A Genetic Programming Approach to Extraction of Glycan Motifs Using Tree Structured Patterns

      • Masatoshi Nagamine, Tetsuhiro Miyahara, Tetsuji Kuboyama, Hiroaki Ueda, Kenichi Takahashi
      Pages 150-159

    3. Feature Construction and Dimension Reduction Using Genetic Programming

      • Kourosh Neshatian, Mengjie Zhang, Mark Johnston
      Pages 160-170

    4. Adjusting Population Distance for the Dual-Population Genetic Algorithm

      • Taejin Park, Ri Choe, Kwang Ryel Ryu
      Pages 171-180
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  1. AI 2007: Advances in Artificial Intelligence

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About this book

This volume contains the papers presented at AI 2007: The 20th Australian Joint Conference on Arti?cial Intelligence held during December 2–6, 2007 on the Gold Coast, Queensland, Australia. AI 2007 attracted 194 submissions (full papers) from 34 countries. The review process was held in two stages. In the ?rst stage, the submissions were assessed for their relevance and readability by the Senior Program Committee members. Those submissions that passed the ?rst stage were then reviewed by at least three Program Committee members and independent reviewers. After extensive disc- sions, the Committee decided to accept 60 regular papers (acceptance rate of 31%) and 44 short papers (acceptance rate of 22.7%). Two regular papers and four short papers were subsequently withdrawn and are not included in the proceedings. AI 2007 featured invited talks from four internationally distinguished - searchers, namely, Patrick Doherty, Norman Foo, Richard Hartley and Robert Hecht-Nielsen. They shared their insights and work with us and their contri- tions to AI 2007 were greatly appreciated. AI 2007 also featured workshops on integrating AI and data-mining, semantic biomedicine and ontology. The short papers were presented in an interactive poster session and contributed to a st- ulating conference. It was a great pleasure for us to serve as the Program Co-chairs of AI 2007.

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