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Intelligent Data Engineering and Automated Learning - IDEAL 2007

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This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007, held in Birmingham, UK, in December 2007. The papers include topical sections on learning and information processing, data mining and information management, bioinformatics and neuroinformatics, agents and distributed systems, financial engineering and modeling, and agent-based approach to service sciences.

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-Based Approach.- An Agent-Based Model of Interactions in the Payment Card Market.- The Possibility of an Epidemic Meme Analogy for Web Community Population Analysis.- The Econometric Analysis of Agent-Based Models in Finance: An Application.- Short Run Dynamics in an Artificial Futures Market with Human Subjects.- Video-Based Conjoint Analysis and Agent Based Simulation for Estimating Customer's Behavior.- Effect of the Number of Users and Bias of Users' Preference on Recommender Systems.- Exploring Quantitative Evaluation Criteria for Service and Potentials of New Service in Transportation: Analyzing Transport Networks of Railway, Subway, and Waterbus.- Neural-evolutionary Fusion Algorithms and Their Applications.- Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks.- Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers.- An Evolution of Geometric Structures Algorithm for the Automatic Classification of HRR Radar Targets.- Hybrid Cross-Entropy Method/Hopfield Neural Network for Combinatorial Optimization Problems.


Titel: Intelligent Data Engineering and Automated Learning - IDEAL 2007
Untertitel: 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings
EAN: 9783540772255
ISBN: 978-3-540-77225-5
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Informatik
Anzahl Seiten: 1174
Gewicht: 1799g
Größe: H235mm x B235mm x T155mm
Jahr: 2007
Untertitel: Englisch
Auflage: 2007

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