Intelligent Data Engineering and Automated Learning - IDEAL 2007 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings

Learning and Information Processing.- Support Function Machines.- Different Bayesian Network Models in the Classification of Remote Sensing Images.- Group Decision Making with Triangular Fuzzy Linguistic Variables.- Sparse Kernel Modelling: A Unified Approach.- Advanced Forecasting and Classification Technique for Condition Monitoring of Rotating Machinery.- Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles.- An Edit Distance Approach to Shallow Semantic Labeling.- A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data.- Variational GTM.- Skill Combination for Reinforcement Learning.- A New Recurring Multistage Evolutionary Algorithm for Solving Problems Efficiently.- The Effect of Missing Wind Speed Data on Wind Power Estimation.- Exploration of a Text Collection and Identification of Topics by Clustering.- Asynchronous BCI Control of a Robot Simulator with Supervised Online Training.- Fuzzy Ridge Regression with Non Symmetric Membership Functions and Quadratic Models.- A Subjective and Objective Integrated Method for MAGDM Problems with Multiple Types of Exact Preference Formats.- Energy Saving by Means of Fuzzy Systems.- A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks.- Filter Methods for Feature Selection – A Comparative Study.- FPGA-Based Architecture for Computing Testors.- Minimal BSDT Abstract Selectional Machines and Their Selectional and Computational Performance.- Active Learning for Regression Based on Query by Committee.- Influence of Wavelet Frequency and Orientation in an SVM-Based Parallel Gabor PCA Face Verification System.- Wrapping the Naive Bayes Classifier to Relax the Effect of Dependences.- Preference Learning from Interval Pairwise Data. A Distance-Based Approach.- Psychometric Functions Within the Framework of Binary Signal Detection Theory: Coding the Face Identity.- Load Forecasting with Support Vector Machines and Semi-parametric Method.- Reproducing Kernel Hilbert Space Methods to Reduce Pulse Compression Sidelobes.- Support Kernel Machine-Based Active Learning to Find Labels and a Proper Kernel Simultaneously.- Making Class Bias Useful: A Strategy of Learning from Imbalanced Data.- Detecting Phishing E-mails by Heterogeneous Classification.- Load Balancing in Fault Tolerant Video Server.- Position-Aware String Kernels with Weighted Shifts and a General Framework to Apply String Kernels to Other Structured Data.- A New Regression Based Software Cost Estimation Model Using Power Values.- Visualising and Clustering Video Data.- Neural Network-Based Receiver for Uplink Multiuser Code Division Multiple Access Communication System.- Evolving Tree Algorithm Modifications.- A Linear Learning Method for Multilayer Perceptrons Using Least-Squares.- A Discriminative Model Corresponding to Hierarchical HMMs.- Finding Unsatisfiable Subformulas with Stochastic Method.- A New Efficient Approach in Clustering Ensembles.- An Evolutionary Hyperheuristic to Solve Strip-Packing Problems.- Statistical Analysis of Sample-Size Effects in ICA.- HPGP: An Abstraction-Based Framework for Decision-Theoretic Planning.- Correction of Medical Handwriting OCR Based on Semantic Similarity.- Multiple Classifier Fusion Using k-Nearest Localized Templates.- Data Mining and Information Management.- Color Image Segmentation Applied to Medical Domain.- Hierarchical Program Representation for Program Element Matching.- A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines.- An Effective Content-Based Image Retrieval System by Hierachical Segmentation.- Knowledge Extraction from Unstructured Surface Meshes.- Clustering with Reinforcement Learning.- Mining Frequent Itemsets in Large Data Warehouses: A Novel Approach Proposed for Sparse Data Sets.- A Sparse Bayesian Position Weighted Bio-Kernel Network.- Square Penalty Support Vector Regression.- Constructing Accurate Fuzzy Rule-Based Classification Systems Using Apriori Principles and Rule-Weighting.- Visualization of Topology Representing Networks.- The Outer Impartation Information Content of Rules and Rule Sets.- An Engineering Approach to Data Mining Projects.- Classifying Polyphonic Melodies by Chord Estimation Based on Hidden Markov Model.- Elastic Non-contiguous Sequence Pattern Detection for Data Stream Monitoring.- Joint Cutoff Probabilistic Estimation Using Simulation: A Mailing Campaign Application.- Segmentation and Annotation of Audiovisual Recordings Based on Automated Speech Recognition.- Mining Disjunctive Sequential Patterns from News Stream.- A New Dissimilarity Measure Between Trees by Decomposition of Unit-Cost Edit Distance.- Optimizing Web Structures Using Web Mining Techniques.- A Collaborative Recommender System Based on Asymmetric User Similarity.- Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications.- Parallel Wavelet Transform for Spatio-temporal Outlier Detection in Large Meteorological Data.- A Tool for Web Usage Mining.- An Algorithm to Mine General Association Rules from Tabular Data.- Intrusion Detection at Packet Level by Unsupervised Architectures.- Quality of Adaptation of Fusion ViSOM.- Classification Based on the Trace of Variables over Time.- Extracting Meaningful Contexts from Mobile Life Log.- Topological Tree Clustering of Social Network Search Results.- Bioinformatics and Neuroinformatics.- A Framework to Analyze Biclustering Results on Microarray Experiments.- Methods to Bicluster Validation and Comparison in Microarray Data.- Capturing Heuristics and Intelligent Methods for Improving Micro-array Data Classification.- Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods.- Protein Data Condensation for Effective Quaternary Structure Classification.- PINCoC: A Co-clustering Based Approach to Analyze Protein-Protein Interaction Networks.- Discovering ?–Patterns from Gene Expression Data.- Biclusters Evaluation Based on Shifting and Scaling Patterns.- A Deterministic Model to Infer Gene Networks from Microarray Data.- Profiling of High-Throughput Mass Spectrometry Data for Ovarian Cancer Detection.- Adapting Machine Learning Technique for Periodicity Detection in Nucleosomal Locations in Sequences.- Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning.- Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning.- Automatic Prognostic Determination and Evolution of Cognitive Decline Using Artificial Neural Networks.- Agents and Distributed Systems.- SCSTallocator: Sized and Call-Site Tracing-Based Shared Memory Allocator for False Sharing Reduction in Page-Based DSM Systems.- A Hybrid Social Model for Simulating the Effects of Policies on Residential Power Consumption.- On Intelligent Interface Agents for Human Based Computation.- Reverse Engineering an Agent-Based Hidden Markov Model for Complex Social Systems.- Effects of Neighbourhood Structure on Evolution of Cooperation in N-Player Iterated Prisoner’s Dilemma.- Interface Agents’ Design for a DRT Transportation System Using PASSI.- A Multi-agent System Approach to Power System Topology Verification.- Financial Engineering and Modelling.- A System for Efficient Portfolio Management.- Partitioning-Clustering Techniques Applied to the Electricity Price Time Series.- Time-Series Prediction Using Self-Organising Mixture Autoregressive Network.- Adjusting the Generalized Pareto Distribution with Evolution Strategies – An application to a Spanish Motor Liability Insurance Database.- Independent Factor Reinforcement Learning for Portfolio Management.- Discrete Time Portfolio Selection with Lévy Processes.- Agent-Based Approach to Service Sciences.- Analyzing the Influence of Overconfident Investors on Financial Markets Through Agent-Based Model.- Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Base