Intelligent Data Engineering and Automated Learning - IDEAL 2005 -

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Sommaire:
Data Mining and Knowledge Engineering.- EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data.- Synthetic Environment Representational Semantics Using the Web Ontology Language.- New Rules for Hybrid Spatial Reasoning.- Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments.- Model Trees for Classification of Hybrid Data Types.- Finding Uninformative Features in Binary Data.- Knowledge Reduction of Rough Set Based on Partition.- Multiresolution Analysis of Connectivity.- Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval.- Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm.- Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique.- Automatic Image Annotation Based on Topic-Based Smoothing.- A Focused Crawler with Document Segmentation.- An Intelligent Grading System Using Heterogeneous Linguistic Resources.- Probabilistic Data Generation for Deduplication and Data Linkage.- Mining Job Logs Using Incremental Attribute-Oriented Approach.- Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components.- Classification by Instance-Based Learning Algorithm.- Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter.- Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain.- Using Support Vector Machine for Modeling of Pulsed GTAW Process.- Design of Simple Structure Neural Voltage Regulator for Power Systems.- EEG Source Localization for Two Dipoles in the Brain Using a Combined Method.- Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller.- Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model.- Learning Algorithms and Systems.- Neural Networks: A Replacement for Gaussian Processes?.- A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection.- Bayesian Radial Basis Function Neural Network.- An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification.- Designing an Optimal Network Using the Cross-Entropy Method.- Generating Predicate Rules from Neural Networks.- Improving Ensembles with Classificational Cellular Automata.- A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection.- A Novel Anomaly Detection Using Small Training Sets.- Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees.- Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement.- Sequential Search for Decremental Edition.- Bearing Similarity Measures for Self-organizing Feature Maps.- Efficient Spatial Clustering Algorithm Using Binary Tree.- Cluster Analysis of High-Dimensional Data: A Case Study.- Universal Clustering with Family of Power Loss Functions in Probabilistic Space.- Circular SOM for Temporal Characterisation of Modelled Gene Expressions.- Recursive Self-organizing Map as a Contractive Iterative Function System.- Differential Priors for Elastic Nets.- Graphics Hardware Implementation of the Parameter-Less Self-organising Map.- Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image.- SOM-Based Novelty Detection Using Novel Data.- Multi-level Document Classifications with Self-organising Maps.- Bioinformatics.- Predictive Vaccinology: Optimisation of Predictions Using SupportVector Machine Classifiers.- Evolving Neural Networks for the Classification of Malignancy Associated Changes.- Matching Peptide Sequences with Mass Spectra.- Extraction by Example: Induction of Struct...