Advances in Neuro-Information Processing: 15th International Conference, Iconip 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I
Advances in Neuro-Information Processing: 15th International Conference, Iconip 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I
Neural Network Based Semantic Web, Data Mining and Knowledge Discovery.- A Novel Method for Manifold Construction.- A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach.- A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution.- New Neuron Model for Blind Source Separation.- Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach.- Local Feature Selection in Text Clustering.- Sprinkled Latent Semantic ...
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Neural Network Based Semantic Web, Data Mining and Knowledge Discovery.- A Novel Method for Manifold Construction.- A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach.- A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution.- New Neuron Model for Blind Source Separation.- Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach.- Local Feature Selection in Text Clustering.- Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge.- Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.- Neurocognitive Approach to Clustering of PubMed Query Results.- Search-In-Synchrony: Personalizing Web Search with Cognitive User Profile Model.- Neurocognitive Approach to Creativity in the Domain of Word-Invention.- Improving Personal Credit Scoring with HLVQ-C.- Architecture of Behavior-Based Function Approximator for Adaptive Control.- On Efficient Content Based Information Retrieval Using SVM and Higher Order Correlation Analysis.- Neural Networks Learning Paradigm.- A String Measure with Symbols Generation: String Self-Organizing Maps.- Neural Network Smoothing of Geonavigation Data on the Basis of Multilevel Regularization Algorithm.- Knowledge-Based Rule Extraction from Self-Organizing Maps.- A Bayesian Local Linear Wavelet Neural Network.- Analysis on Equilibrium Point of Expectation Propagation Using Information Geometry.- Partially Enhanced Competitive Learning.- Feature Detection by Structural Enhanced Information.- Gradient Learning in Networks of Smoothly Spiking Neurons.- Orthogonalization and Thresholding Method for a Nonparametric Regression Problem.- Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction.- Divided Chaotic Associative Memory for Successive Learning.- Reinforcement Learning Using Kohonen Feature Map Associative Memory with Refractoriness Based on Area Representation.- Automatic Model Selection via Corrected Error Backpropagation.- Self-Referential Event Lists for Self-Organizing Modular Reinforcement Learning.- Generalisation Performance vs. Architecture Variations in Constructive Cascade Networks.- Synchronized Oriented Mutations Algorithm for Training Neural Controllers.- Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed.- Sample Filtering Relief Algorithm: Robust Algorithm for Feature Selection.- Enhanced Visualization by Combing SOM and Mixture Models.- Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks.- Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting.- Learning Nonadjacent Dependencies with a Recurrent Neural Network.- A Back-Propagation Training Method for Multilayer Pulsed Neural Networks Using Principle of Duality.- Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation.- Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer.- On Node-Fault-Injection Training of an RBF Network.- Kernel Methods and SVM.- Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach.- Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features.- Acoustic Echo Cancellation Using Gaussian Processes.- Automatic Particle Detection and Counting by One-Class SVM from Microscope Image.- Protein Folding Classification by Committee SVM Array.- Implementation of the MLP Kernel.- Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification with Feature Selection.- An SVM Based Approach to Cross-Language Adaptation for Indian Languages.- Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.- Early Detection of the Alzheimer Disease Com...
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