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  • Conference proceedings
  • © 2007

Artificial Neural Networks - ICANN 2007

17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4668)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): ICANN: International Conference on Artificial Neural Networks

Conference proceedings info: ICANN 2007.

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Table of contents (98 papers)

  1. Front Matter

  2. Learning Theory

    1. Generalization Error of Automatic Relevance Determination

      • Shinichi Nakajima, Sumio Watanabe
      Pages 1-10
    2. Theoretical Analysis of Accuracy of Gaussian Belief Propagation

      • Yu Nishiyama, Sumio Watanabe
      Pages 29-38
    3. Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks

      • Héctor F. Satizábal M., Andres Pérez-Uribe
      Pages 39-48
    4. An Improved Greedy Bayesian Network Learning Algorithm on Limited Data

      • Feng Liu, Fengzhan Tian, Qiliang Zhu
      Pages 49-57
    5. Incremental One-Class Learning with Bounded Computational Complexity

      • Rowland R. Sillito, Robert B. Fisher
      Pages 58-67
    6. Neural Network Ensemble Training by Sequential Interaction

      • M. A. H. Akhand, Kazuyuki Murase
      Pages 98-108
  3. Advances in Neural Network Learning Methods

    1. Structure Learning with Nonparametric Decomposable Models

      • Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
      Pages 119-128
    2. Resilient Approximation of Kernel Classifiers

      • Thorsten Suttorp, Christian Igel
      Pages 139-148
    3. Incremental Learning of Spatio-temporal Patterns with Model Selection

      • Koichiro Yamauchi, Masayoshi Sato
      Pages 149-158
    4. Accelerating Kernel Perceptron Learning

      • Daniel García, Ana González, José R. Dorronsoro
      Pages 159-168

Other Volumes

  1. Artificial Neural Networks – ICANN 2007

About this book

This two volume set LNCS 4668 and LNCS 4669 constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, in September 2007.

The 197 revised full papers presented were carefully reviewed and selected from 376 submissions. The 98 papers of the first volume are organized in topical sections on learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
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