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Discovery Science

8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings

  • Conference proceedings
  • © 2005

Access provided by Autonomous University of Puebla

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Overview

Editors:
  1. Achim Hoffmann

    1. School of Computer Science & Engineering, The University of New South Wales, Sydney, Australia

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  2. Hiroshi Motoda

    1. Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan

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  3. Tobias Scheffer

    1. Max Planck Institute for Computer Science, Saarbrücken, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3735)

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

Included in the following conference series:

Conference proceedings info: DS 2005.

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Keywords

Table of contents (41 papers)

  1. Front Matter

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  2. Invited Papers

    1. Invention and Artificial Intelligence

      • Gary Bradshaw
      Pages 1-13
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    2. Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources

      • Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant Honavar
      Pages 14-14
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    3. Training Support Vector Machines via SMO-Type Decomposition Methods

      • Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin
      Pages 15-15
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    4. The Robot Scientist Project

      • Ross D. King, Michael Young, Amanda J. Clare, Kenneth E. Whelan, Jem Rowland
      Pages 16-25
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    5. The Arrowsmith Project: 2005 Status Report

      • Neil R. Smalheiser
      Pages 26-43
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  3. Regular Contributions - Long Papers

    1. Practical Algorithms for Pattern Based Linear Regression

      • Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masayuki Takeda
      Pages 44-56
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    2. Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach

      • Indra Budi, Stéphane Bressan, Gatot Wahyudi, Zainal A. Hasibuan, Bobby A. A. Nazief
      Pages 57-69
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    3. Bias Management of Bayesian Network Classifiers

      • Gladys Castillo, João Gama
      Pages 70-83
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    4. A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud’s/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space

      • R. J. Cole, P. D. Bruza
      Pages 84-98
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    5. Assisting Scientific Discovery with an Adaptive Problem Solver

      • Christopher Dartnell, Jean Sallantin
      Pages 99-112
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    6. Cross-Language Mining for Acronyms and Their Completions from the Web

      • Udo Hahn, Philipp Daumke, Stefan Schulz, Kornél Markó
      Pages 113-123
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    7. Mining Frequent δ-Free Patterns in Large Databases

      • Céline Hébert, Bruno Crémilleux
      Pages 124-136
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    8. An Experiment with Association Rules and Classification: Post-Bagging and Conviction

      • Alípio M. Jorge, Paulo J. Azevedo
      Pages 137-149
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    9. Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree

      • Sengtai Lee, Jeehoon Kim, Jae-Yeon Baek, Man-Wi Han, Chang Woo Ji, Tae-Soo Chon
      Pages 150-162
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    10. Support Vector Inductive Logic Programming

      • Stephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg
      Pages 163-175
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    11. Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences

      • Yen Kaow Ng, Hirotaka Ono, Takeshi Shinohara
      Pages 176-188
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    12. The q-Gram Distance for Ordered Unlabeled Trees

      • Nobuhito Ohkura, Kouichi Hirata, Tetsuji Kuboyama, Masateru Harao
      Pages 189-202
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    13. Monotone Classification by Function Decomposition

      • Viara Popova, Jan C. Bioch
      Pages 203-214
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    14. Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces

      • Shiliang Sun, Changshui Zhang
      Pages 215-226
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Other volumes

  1. Discovery Science

Editors and Affiliations

  • School of Computer Science & Engineering, The University of New South Wales, Sydney, Australia

    Achim Hoffmann

  • Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan

    Hiroshi Motoda

  • Max Planck Institute for Computer Science, Saarbrücken, Germany

    Tobias Scheffer

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