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Intelligent Data Engineering and Automated Learning – IDEAL 2008

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Table of Contents

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    Book Overview
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    Chapter 1 Proposal of Exploitation-Oriented Learning PS-r #
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    Chapter 2 Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting
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    Chapter 3 Hybrid Weighted Distance Measures and Their Application to Pattern Recognition
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    Chapter 4 A Multitask Learning Approach to Face Recognition Based on Neural Networks
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    Chapter 5 Logic Synthesis for FSMs Using Quantum Inspired Evolution
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    Chapter 6 A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Networks
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    Chapter 7 Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classification
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    Chapter 8 A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition
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    Chapter 9 Distribution Feeder Load Balancing Using Support Vector Machines
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    Chapter 10 Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost
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    Chapter 11 Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications
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    Chapter 12 Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention
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    Chapter 13 Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART
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    Chapter 14 A Study on Human Gaze Estimation Using Screen Reflection
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    Chapter 15 A Novel GA-Taguchi-Based Feature Selection Method
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    Chapter 16 Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation
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    Chapter 17 Automatic Order of Data Points in RE Using Neural Networks
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    Chapter 18 Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds
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    Chapter 19 Feature Discovery by Enhancement and Relaxation of Competitive Units
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    Chapter 20 Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification
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    Chapter 21 A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks
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    Chapter 22 Semi-supervised Learning with Ensemble Learning and Graph Sharpening
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    Chapter 23 Exploring Topology Preservation of SOMs with a Graph Based Visualization
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    Chapter 24 A Class of Novel Kernel Functions
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    Chapter 25 RP-Tree: A Tree Structure to Discover Regular Patterns in Transactional Database
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    Chapter 26 Extracting Key Entities and Significant Events from Online Daily News
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    Chapter 27 Performance Evaluation of Intelligent Prediction Models on Smokers’ Quitting Behaviour
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    Chapter 28 Range Facial Recognition with the Aid of Eigenface and Morphological Neural Networks
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    Chapter 29 Modular Bayesian Network Learning for Mobile Life Understanding
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    Chapter 30 Skin Pores Detection for Image-Based Skin Analysis
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    Chapter 31 An Empirical Research on Extracting Relations from Wikipedia Text
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    Chapter 32 A Data Perturbation Method by Field Rotation and Binning by Averages Strategy for Privacy Preservation
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    Chapter 33 Mining Weighted Frequent Patterns Using Adaptive Weights
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    Chapter 34 On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model
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    Chapter 35 Guaranteed Network Traffic Demand Prediction Using FARIMA Models
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    Chapter 36 A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets
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    Chapter 37 The Use of Semi-parametric Methods for Feature Extraction in Mobile Cellular Networks
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    Chapter 38 Personalized Document Summarization Using Non-negative Semantic Feature and Non-negative Semantic Variable
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    Chapter 39 Cooperative E-Organizations for Distributed Bioinformatics Experiments
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    Chapter 40 Personal Knowledge Network Reconfiguration Based on Brain Like Function Using Self Type Matching Strategy
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    Chapter 41 A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction
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    Chapter 42 Control of a Wheelchair by Motor Imagery in Real Time
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    Chapter 43 Robust Vessel Segmentation Based on Multi-resolution Fuzzy Clustering
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    Chapter 44 Building a Spanish MMTx by Using Automatic Translation and Biomedical Ontologies
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    Chapter 45 Compensation for Speed-of-Processing Effects in EEG-Data Analysis
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    Chapter 46 Statistical Baselines from Random Matrix Theory
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    Chapter 47 Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing
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    Chapter 48 Improving the Relational Evaluation of XML Queries by Means of Path Summaries
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    Chapter 49 Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach
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    Chapter 50 When Is Inconsistency Considered Harmful: Temporal Characterization of Knowledge Base Inconsistency
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    Chapter 51 Intelligent Engineering and Its Application in Policy Simulation
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    Chapter 52 Design of Directory Facilitator for Agent-Based Service Discovery in Ubiquitous Computing Environments
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    Chapter 53 Laboratory of Policy Study on Electricity Demand Forecasting by Intelligent Engineering
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    Chapter 54 Self-adaptive Mutation Only Genetic Algorithm: An Application on the Optimization of Airport Capacity Utilization
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    Chapter 55 Cross Checking Rules to Improve Consistency between UML Static Diagram and Dynamic Diagram
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    Chapter 56 Neural Networks Approach to the Detection of Weekly Seasonality in Stock Trading
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    Chapter 57 Bregman Divergences and the Self Organising Map
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    Chapter 58 Feature Locations in Images
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    Chapter 59 Intelligent Data Engineering and Automated Learning – IDEAL 2008
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    Chapter 60 An Adaptive Image Watermarking Scheme Using Non-separable Wavelets and Support Vector Regression
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    Chapter 61 Cluster Analysis of Land-Cover Images Using Automatically Segmented SOMs with Textural Information
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    Chapter 62 Application of Topology Preserving Ensembles for Sensory Assessment in the Food Industry
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    Chapter 63 AI for Modelling the Laser Milling of Copper Components
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    Chapter 64 Country and Political Risk Analysis of Spanish Multinational Enterprises Using Exploratory Projection Pursuit
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    Chapter 65 Single-Layer Neural Net Competes with Multi-layer Neural Net
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    Chapter 66 Intelligent Data Engineering and Automated Learning – IDEAL 2008
Overall attention for this book and its chapters
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Title
Intelligent Data Engineering and Automated Learning – IDEAL 2008
Published by
Springer Berlin Heidelberg, November 2008
DOI 10.1007/978-3-540-88906-9
ISBNs
978-3-54-088905-2, 978-3-54-088906-9
Editors

Fyfe, Colin, Kim, Dongsup, Lee, Soo-Young, Yin, Hujun

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Master 3 27%
Lecturer 1 9%
Researcher 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Engineering 2 18%
Chemistry 1 9%
Business, Management and Accounting 1 9%
Unknown 2 18%