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Neural Information Processing

13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Irwin King

    1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T.

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  2. Jun Wang

    1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, China

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  3. Lai-Wan Chan

    1. The Chinese University of Hong Kong, Shatin, N.T.

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  4. DeLiang Wang

    1. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4233)

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

Included in the following conference series:

Conference proceedings info: ICONIP 2006.

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Table of contents (129 papers)

  1. Data Pre-processing

    1. The Forgetting Gradient Algorithm for Parameter and Intersample Estimation of Dual-Rate Systems

      • Yang Hui-zhong, Tian Jun, Ding Feng
      Pages 721-728

    2. Intelligent System for Feature Extraction of Oil Slick in SAR Images: Speckle Filter Analysis

      • Danilo L. de Souza, Adrião D. D. Neto, Wilson da Mata
      Pages 729-736

    3. Feature Selection for Neural Networks Through Binomial Regression

      • Gecynalda Soares S. Gomes, Teresa B. Ludermir
      Pages 737-745

    4. Automated Parameter Selection for Support Vector Machine Decision Tree

      • Gyunghyun Choi, Suk Joo Bae
      Pages 746-753

    5. Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs

      • K. Y. Michael Wong, C. H. Yeung, David Saad
      Pages 754-763

    6. Analysis and Insights into the Variable Selection Problem

      • Amir F. Atiya
      Pages 764-775

    7. Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection

      • Chen Change Loy, Weng Kin Lai, Chee Peng Lim
      Pages 776-785

    8. Fault Tolerant Training of Neural Networks for Learning Vector Quantization

      • Takashi Minohara
      Pages 786-795

    9. Clustering with a Semantic Criterion Based on Dimensionality Analysis

      • Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
      Pages 796-805

    10. Improved Clustering and Anisotropic Gradient Descent Algorithm for Compact RBF Network

      • Delu Zeng, Shengli Xie, Zhiheng Zhou
      Pages 806-813

    11. Clustering Massive High Dimensional Data with Dynamic Feature Maps

      • Rasika Amarasiri, Damminda Alahakoon, Kate Smith-Miles
      Pages 814-823

    12. Zoomed Clusters

      • Jean-Louis Lassez, Tayfun Karadeniz, Srinivas Mukkamala
      Pages 824-830

  2. Forecasting and Prediction

    1. Predicting Chaotic Time Series by Boosted Recurrent Neural Networks

      • Mohammad Assaad, Romuald Boné, Hubert Cardot
      Pages 831-840

    2. Uncertainty in Mineral Prospectivity Prediction

      • Pawalai Kraipeerapun, Chun Che Fung, Warick Brown, Kok Wai Wong, Tamás Gedeon
      Pages 841-849

    3. Thermal Deformation Prediction in Machine Tools by Using Neural Network

      • Chuan-Wei Chang, Yuan Kang, Yi-Wei Chen, Ming-Hui Chu, Yea-Ping Wang
      Pages 850-859

    4. Fuzzy Time Series Prediction Method Based on Fuzzy Recurrent Neural Network

      • Rafik Aliev, Bijan Fazlollahi, Rashad Aliev, Babek Guirimov
      Pages 860-869

    5. Research on a Novel Method Diagnosis and Maintenance for Key Produce Plant Based on MAS and NN

      • Weijin Jiang, Xiaohong Lin
      Pages 870-879

    6. Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression

      • Fang Liu, Jian-Zhong Zhou, Fang-Peng Qiu, Jun-Jie Yang, Li Liu
      Pages 880-889

    7. A Distributed Computing Service for Neural Networks and Its Application to Flood Peak Forecasting

      • Jun Zhu, Chunbo Liu, Jianhua Gong, Daojun Wang, Tao Song
      Pages 890-896

    8. Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning

      • Ryotaro Kamimura, Fumihiko Yoshida
      Pages 897-908
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Other volumes

  1. Neural Information Processing

  2. Neural Information Processing

  3. Neural Information Processing

Keywords

Editors and Affiliations

  • Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T.

    Irwin King

  • Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, China

    Jun Wang

  • The Chinese University of Hong Kong, Shatin, N.T.

    Lai-Wan Chan

  • Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, Columbus

    DeLiang Wang

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