Intelligent Data Engineering and Automated Learning -- IDEAL 2010

Large Scale Instance Selection by Means of a Parallel Algorithm.- Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection.- Generalized Derivative Based Kernelized Learning Vector Quantization.- Cost Optimization of a Localized Irrigation System Using Genetic Algorithms.- Dimension Reduction for Regression with Bottleneck Neural Networks.- Analysing Satellite Image Time Series by Means of Pattern Mining.- Sentences Generation by Frequent Parsing Patterns.- Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model.- On the Power of Topological Kernel in Microarray-Based Detection of Cancer.- An Evolutionary Multi-objective Optimization of Market Structures Using PBIL.- New Application of Graph Mining to Video Analysis.- Classification by Multiple Reducts-kNN with Confidence.- Towards Automatic Classification of Wikipedia Content.- Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data.- A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm.- Simplified Self-Adapting Skip Lists.- Multi-Agent Architecture with Support to Quality of Service and Quality of Control.- Robust 1-Norm Soft Margin Smooth Support Vector Machine.- A Generalization of Independence in Naive Bayes Model.- Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification.- Histogram Distance for Similarity Search in Large Time Series Database.- The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces.- Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains.- The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach.- Privacy Preserving Techniquefor Euclidean Distance Based Mining Algorithms Using a Wavelet Related Transform.- Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System.- Annotation and Retrieval of Cell Images.- Adaptive Particle Swarm Optimizer for Feature Selection.- A Randomized Sphere Cover Classifier.- Directed Figure Codes with Weak Equality.- Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks.- Relevance of Contextual Information in Compression-Based Text Clustering.- Simple Deterministically Constructed Recurrent Neural Networks.- Non-negative Matrix Factorization Implementation Using Graphic Processing Units.- A Neighborhood-Based Clustering by Means of the Triangle Inequality.- Selection of Structures with Grid Optimization, in Multiagent Data Warehouse.- Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations.- Learning Negotiation Policies Using IB3 and Bayesian Networks.- Trajectory Based Behavior Analysis for User Verification.- Discovering Concept Mappings by Similarity Propagation among Substructures.- Clustering and Visualizing SOM Results.- A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors.- Evolution Strategies for Objective Functions with Locally Correlated Variables.- Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD.- Improving the Performance of the Truncated Fourier Series Least Squares (TFSLS)Power System Load Model Using an Artificial Neural Network Paradigm.- An Efficient Approach to Clustering Real-Estate Listings.- Incremental Update of Cyclic Association Rules.