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Intelligent Data Engineering and Automated Learning - IDEAL 2005

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Cover of 'Intelligent Data Engineering and Automated Learning - IDEAL 2005'

Table of Contents

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    Book Overview
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    Chapter 1 EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data
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    Chapter 2 Synthetic Environment Representational Semantics Using the Web Ontology Language
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    Chapter 3 New Rules for Hybrid Spatial Reasoning
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    Chapter 4 Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments
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    Chapter 5 Model Trees for Classification of Hybrid Data Types
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    Chapter 6 Finding Uninformative Features in Binary Data
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    Chapter 7 Knowledge Reduction of Rough Set Based on Partition
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    Chapter 8 Multiresolution Analysis of Connectivity
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    Chapter 9 Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
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    Chapter 10 Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm
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    Chapter 11 Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique
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    Chapter 12 Automatic Image Annotation Based on Topic-Based Smoothing
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    Chapter 13 A Focused Crawler with Document Segmentation
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    Chapter 14 An Intelligent Grading System Using Heterogeneous Linguistic Resources
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    Chapter 15 Probabilistic Data Generation for Deduplication and Data Linkage
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    Chapter 16 Mining Job Logs Using Incremental Attribute-Oriented Approach
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    Chapter 17 Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components
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    Chapter 18 Classification by Instance-Based Learning Algorithm
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    Chapter 19 Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter
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    Chapter 20 Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain
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    Chapter 21 Using Support Vector Machine for Modeling of Pulsed GTAW Process
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    Chapter 22 Design of Simple Structure Neural Voltage Regulator for Power Systems
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    Chapter 23 EEG Source Localization for Two Dipoles in the Brain Using a Combined Method
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    Chapter 24 Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller
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    Chapter 25 Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model
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    Chapter 26 Neural Networks: A Replacement for Gaussian Processes?
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    Chapter 27 A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection
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    Chapter 28 Bayesian Radial Basis Function Neural Network
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    Chapter 29 An Empirical Study of Hoeffding Racing for Model Selection in k -Nearest Neighbor Classification
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    Chapter 30 Designing an Optimal Network Using the Cross-Entropy Method
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    Chapter 31 Generating Predicate Rules from Neural Networks
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    Chapter 32 Improving Ensembles with Classificational Cellular Automata
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    Chapter 33 A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection
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    Chapter 34 A Novel Anomaly Detection Using Small Training Sets
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    Chapter 35 Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees
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    Chapter 36 Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement
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    Chapter 37 Sequential Search for Decremental Edition
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    Chapter 38 Bearing Similarity Measures for Self-organizing Feature Maps
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    Chapter 39 Efficient Spatial Clustering Algorithm Using Binary Tree
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    Chapter 40 Cluster Analysis of High-Dimensional Data: A Case Study
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    Chapter 41 Universal Clustering with Family of Power Loss Functions in Probabilistic Space
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    Chapter 42 Circular SOM for Temporal Characterisation of Modelled Gene Expressions
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    Chapter 43 Recursive Self-organizing Map as a Contractive Iterative Function System
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    Chapter 44 Differential Priors for Elastic Nets
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    Chapter 45 Graphics Hardware Implementation of the Parameter-Less Self-organising Map
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    Chapter 46 Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image
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    Chapter 47 SOM-Based Novelty Detection Using Novel Data
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    Chapter 48 Multi-level Document Classifications with Self-organising Maps
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    Chapter 49 Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
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    Chapter 50 Evolving Neural Networks for the Classification of Malignancy Associated Changes
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    Chapter 51 Matching Peptide Sequences with Mass Spectra
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    Chapter 52 Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources
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    Chapter 53 A Multi-population χ 2 Test Approach to Informative Gene Selection
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    Chapter 54 Gene Selection of DNA Microarray Data Based on Regularization Networks
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    Chapter 55 Application of Mixture Models to Detect Differentially Expressed Genes
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    Chapter 56 A Comparative Study of Two Novel Predictor Set Scoring Methods
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    Chapter 57 Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm
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    Chapter 58 SVM Based Prediction of Bacterial Transcription Start Sites
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    Chapter 59 Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
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    Chapter 60 Protein Fold Recognition Using Neural Networks and Support Vector Machines
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    Chapter 61 Support Tool for Multi-agent Development
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    Chapter 62 A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE
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    Chapter 63 Toward Transitive Dependence in MAS
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    Chapter 64 An Architecture for Multi-agent Based Self-adaptive System in Mobile Environment
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    Chapter 65 Autonomous and Dependable Recovery Scheme in UPnP Network Settings
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    Chapter 66 A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation
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    Chapter 67 A Multi-agent Based Context Aware Self-healing System
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    Chapter 68 Combining Influence Maps and Cellular Automata for Reactive Game Agents
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    Chapter 69 Patterns in Complex Systems Modeling
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    Chapter 70 Global Optimization Using Evolutionary Algorithm Based on Level Set Evolution and Latin Square
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    Chapter 71 Co-evolutionary Rule-Chaining Genetic Programming
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    Chapter 72 A Dynamic Migration Model for Self-adaptive Genetic Algorithms
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    Chapter 73 A Multicriteria Sorting Procedure for Financial Classification Problems: The Case of Business Failure Risk Assessment
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    Chapter 74 Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models
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    Chapter 75 Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia
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    Chapter 76 A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets
Overall attention for this book and its chapters
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Title
Intelligent Data Engineering and Automated Learning - IDEAL 2005
Published by
Springer Berlin Heidelberg, June 2005
DOI 10.1007/b137888
ISBNs
978-3-54-026972-4, 978-3-54-031693-0
Editors

Gallagher, Marcus, Hogan, James P., Maire, Frederic

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