Zur Zeit liegt uns keine Inhaltsangabe vor.
Inhaltsverzeichnis
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 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 RiskAssessment. - 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.
