Intelligent Data Engineering and Automated Learning - IDEAL 2005 6th International Conference, Brisbane, Australia, July 6-8, 2005. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Gallagher, Marcus (Επιμελητής έκδοσης), Hogan, James P. (Επιμελητής έκδοσης), Maire, Frederic (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Lecture Notes in Computer Science, 3578
• Θέματα: Computer science.; Algorithms.; Database management.; Information storage and retrieval.; Artificial intelligence.; Computers and civilization.; Computer Science.; Database Management.; Algorithm Analysis and Problem Complexity.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Computers and Society.

 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 Support Vector Machine Classifiers -- Evolving Neural Networks for the Classification of Malignancy Associated Changes -- Matching Peptide Sequences with Mass Spectra -- Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources -- A Multi-population ? 2 Test Approach to Informative Gene Selection -- Gene Selection of DNA Microarray Data Based on Regularization Networks -- Application of Mixture Models to Detect Differentially Expressed Genes -- A Comparative Study of Two Novel Predictor Set Scoring Methods -- Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm -- SVM Based Prediction of Bacterial Transcription Start Sites -- Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins -- Protein Fold Recognition Using Neural Networks and Support Vector Machines -- Agents and Complex Systems -- Support Tool for Multi-agent Development -- A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE -- Toward Transitive Dependence in MAS -- An Architecture for Multi-agent Based Self-adaptive System in Mobile Environment -- Autonomous and Dependable Recovery Scheme in UPnP Network Settings -- A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation -- A Multi-agent Based Context Aware Self-healing System -- Combining Influence Maps and Cellular Automata for Reactive Game Agents -- Patterns in Complex Systems Modeling -- Global Optimization Using Evolutionary Algorithm Based on Level Set Evolution and Latin Square -- Co-evolutionary Rule-Chaining Genetic Programming -- A Dynamic Migration Model for Self-adaptive Genetic Algorithms -- Financial Engineering -- A Multicriteria Sorting Procedure for Financial Classification Problems: The Case of Business Failure Risk Assessment -- Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models -- Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia -- A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets.