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  • Conference proceedings
  • © 2003

Algorithmic Learning Theory

14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings

Editors:

  1. Ricard Gavaldá

    1. Universitat Politècnica de Catalunya, Barcelona, Spain

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  2. Klaus P. Jantke

    1. Meme Media Laboratory, Hokkaido University Sapporo, Sapporo, Japan

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    You can also search for this editor in PubMed   Google Scholar

  3. Eiji Takimoto

    1.  ,  

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2842)

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

Conference series link(s): ALT: International Conference on Algorithmic Learning Theory

Conference proceedings info: ALT 2003.

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Table of contents (24 papers)

  1. Front Matter

    PDF

  3. Inductive Inference

    1. Intrinsic Complexity of Uniform Learning

      • Sandra Zilles
      Pages 39-53

    2. On Ordinal VC-Dimension and Some Notions of Complexity

      • Eric Martin, Arun Sharma, Frank Stephan
      Pages 54-68

  4. Learning and Information Extraction

    1. Robust Inference of Relevant Attributes

      • Jan Arpe, Rüdiger Reischuk
      Pages 99-113

    2. Efficient Learning of Ordered and Unordered Tree Patterns with Contractible Variables

      • Yusuke Suzuki, Takayoshi Shoudai, Satoshi Matsumoto, Tomoyuki Uchida, Tetsuhiro Miyahara
      Pages 114-128

  5. Learning with Queries

    1. On the Learnability of Erasing Pattern Languages in the Query Model

      • Steffen Lange, Sandra Zilles
      Pages 129-143

    2. Learning of Finite Unions of Tree Patterns with Repeated Internal Structured Variables from Queries

      • Satoshi Matsumoto, Yusuke Suzuki, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida
      Pages 144-158

  6. Learning with Non-linear Optimization

    1. Kernel Trick Embedded Gaussian Mixture Model

      • Jingdong Wang, Jianguo Lee, Changshui Zhang
      Pages 159-174

    2. Efficiently Learning the Metric with Side-Information

      • Tijl De Bie, Michinari Momma, Nello Cristianini
      Pages 175-189

    3. Learning Continuous Latent Variable Models with Bregman Divergences

      • Shaojun Wang, Dale Schuurmans
      Pages 190-204

  7. Learning from Random Examples

    2. Learning a Subclass of Regular Patterns in Polynomial Time

      • John Case, Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann
      Pages 234-246
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Keywords

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Editors and Affiliations

  • Universitat Politècnica de Catalunya, Barcelona, Spain

    Ricard Gavaldá

  • Meme Media Laboratory, Hokkaido University Sapporo, Sapporo, Japan

    Klaus P. Jantke

  •  ,  

    Eiji Takimoto

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Bibliographic Information

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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