Advances in Neuro-Information Processing

1. Front Matter

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2. Neural Network Based Semantic Web, Data Mining and Knowledge Discovery

   1. Front Matter

      Pages 1-1

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   2. A Novel Method for Manifold Construction

      • Wei-Chen Cheng, Cheng-Yuan Liou

      Pages 3-10

   3. A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach

      • Renata M. C. R. de Souza, Diogo R. S. Salazar

      Pages 11-18

   4. A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution

      • Marco A. O. Domingues, Renata M. C. R. de Souza, Francisco José A. Cysneiros

      Pages 19-26

   5. New Neuron Model for Blind Source Separation

      • Md. Shiblee, B. Chandra, P. K. Kalra

      Pages 27-36

   6. Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach

      • Md. Shiblee, P. K. Kalra, B. Chandra

      Pages 37-44

   7. Local Feature Selection in Text Clustering

      • Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo B. C. Prudêncio

      Pages 45-52

   8. Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge

      • Haiqin Yang, Irwin King

      Pages 53-60

   9. Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity

      • Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann

      Pages 61-69

   10. Neurocognitive Approach to Clustering of PubMed Query Results

       • Paweł Matykiewicz, Włodzisław Duch, Paul M. Zender, Keith A. Crutcher, John P. Pestian

       Pages 70-79

   11. Search-In-Synchrony: Personalizing Web Search with Cognitive User Profile Model

       • Chandra Shekhar Dhir, Soo Young Lee

       Pages 80-87

   12. Neurocognitive Approach to Creativity in the Domain of Word-Invention

       • Maciej Pilichowski, Włodzisław Duch

       Pages 88-96

   13. Improving Personal Credit Scoring with HLVQ-C

       • Armando Vieira, João Duarte, Bernardete Ribeiro, Joao Carvalho Neves

       Pages 97-103

   14. Architecture of Behavior-Based Function Approximator for Adaptive Control

       • Hassab Elgawi Osman

       Pages 104-111

   15. On Efficient Content Based Information Retrieval Using SVM and Higher Order Correlation Analysis

       • Dimitrios Alexios Karras

       Pages 112-119

3. Neural Networks Learning Paradigm

   1. Front Matter

      Pages 121-121

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   2. A String Measure with Symbols Generation: String Self-Organizing Maps

      • Luis Fernando de Mingo López, Nuria Gómez Blas, Miguel Angel Díaz

      Pages 123-130

   3. Neural Network Smoothing of Geonavigation Data on the Basis of Multilevel Regularization Algorithm

      • Vladimir Vasilyev, Ildar Nugaev

      Pages 131-138

   4. Knowledge-Based Rule Extraction from Self-Organizing Maps

      • Chihli Hung

      Pages 139-146

The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.

• 3D graphics
• Support Vector Machine
• Windows
• algorithms
• ants
• artificial neural networks
• bioinformatics
• brain modeling
• classification
• complexity
• intelligent information systems
• modeling
• neurocomputers
• neuroscience
• pattern recognition

• Network Design and Research Center, Kyushu Institute of Technology,, Fukuoka, Japan

  Mario Köppen

• Knowledge Engineering and Discovery Research Institute (KEDRI), School of Computing and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

  Nikola Kasabov

• Department of Electrical and Computer Engineering, Robotics Laboratory, Auckland University of Technology, Auckland, New Zealand

  George Coghill

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