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AI 2011: Advances in Artificial Intelligence

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Cover of 'AI 2011: Advances in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Guided Rule Discovery in XCS for High-Dimensional Classification Problems
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    Chapter 2 Motif-Based Method for Initialization the K-Means Clustering for Time Series Data
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    Chapter 3 Semi-Supervised Classification Using Tree-Based Self-Organizing Maps
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    Chapter 4 The Discovery and Use of Ordinal Information on Attribute Values in Classifier Learning
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    Chapter 5 Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data
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    Chapter 6 Automatically Measuring the Quality of User Generated Content in Forums
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    Chapter 7 Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features
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    Chapter 8 Penalized Least Squares for Smoothing Financial Time Series
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    Chapter 9 Logistic Regression with the Nonnegative Garrote
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    Chapter 10 Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets
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    Chapter 11 Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory
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    Chapter 12 A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps
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    Chapter 13 Distribution Based Data Filtering for Financial Time Series Forecasting
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    Chapter 14 Sequential Feature Selection for Classification
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    Chapter 15 Long-Tail Recommendation Based on Reflective Indexing
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    Chapter 16 AI 2011: Advances in Artificial Intelligence
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    Chapter 17 Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management
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    Chapter 18 Distance-Based Feature Selection on Classification of Uncertain Objects
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    Chapter 19 Closure Spaces of Isotone Galois Connections and Their Morphisms
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    Chapter 20 Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data
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    Chapter 21 Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs
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    Chapter 22 An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution
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    Chapter 23 A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems
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    Chapter 24 Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method
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    Chapter 25 Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold
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    Chapter 26 Bagging Ensemble Selection
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    Chapter 27 Augmented Spatial Pooling
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    Chapter 28 An Analysis of Sub-swarms in Multi-swarm Systems
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    Chapter 29 AI 2011: Advances in Artificial Intelligence
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    Chapter 30 Weighted Preferences in Evolutionary Multi-objective Optimization
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    Chapter 31 Genetic Programming for Edge Detection Based on Accuracy of Each Training Image
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    Chapter 32 Improving Robustness of Multiple-Objective Genetic Programming for Object Detection
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    Chapter 33 DE/isolated/1: A New Mutation Operator for Multimodal Optimization with Differential Evolution
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    Chapter 34 The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem
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    Chapter 35 Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming
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    Chapter 36 Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization
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    Chapter 37 Convergence of a Recombination-Based Elitist Evolutionary Algorithm on the Royal Roads Test Function
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    Chapter 38 Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization
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    Chapter 39 Color Quantization Using Modified Artificial Fish Swarm Algorithm
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    Chapter 40 Coordinated Learning for Loosely Coupled Agents with Sparse Interactions
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    Chapter 41 AI 2011: Advances in Artificial Intelligence
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    Chapter 42 Sequential Single-Cluster Auctions for Robot Task Allocation
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    Chapter 43 Correlation between Genetic Diversity and Fitness in a Predator-Prey Ecosystem Simulation
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    Chapter 44 Is Revision a Special Kind of Update?
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    Chapter 45 A Parallel, Multi-issue Negotiation Model in Dynamic E-Markets
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    Chapter 46 Parallel Monte Carlo Tree Search Scalability Discussion
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    Chapter 47 How Questions Guide Choices: A Preliminary Logical Investigation
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    Chapter 48 A Defeasible Logic for Clauses
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    Chapter 49 Applying Multiple Classification Ripple Round Rules to a Complex Configuration Task
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    Chapter 50 Semantic Foundation for Preferential Description Logics
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    Chapter 51 AI 2011: Advances in Artificial Intelligence
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    Chapter 52 AI 2011: Advances in Artificial Intelligence
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    Chapter 53 Object Detection by Admissible Region Search
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    Chapter 54 Structured Light-Based Shape Measurement System of Human Body
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    Chapter 55 Fast Sub-window Search with Square Shape
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    Chapter 56 Binocular Structured Light Stereo Matching Approach for Dense Facial Disparity Map
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    Chapter 57 AI 2011: Advances in Artificial Intelligence
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    Chapter 58 Fast Multi-view Graph Kernels for Object Classification
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    Chapter 59 Image Feature Selection Based on Ant Colony Optimization
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    Chapter 60 Realistic Smile Expression Recognition Using Biologically Inspired Features
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    Chapter 61 Learning Colours from Textures by Sparse Manifold Embedding
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    Chapter 62 Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images
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    Chapter 63 Adaptive Binarization Method for Enhancing Ancient Malay Manuscript Images
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    Chapter 64 A New Approach to Use Concepts Definitions for Semantic Relatedness Measurement
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    Chapter 65 Using a Lexical Dictionary and a Folksonomy to Automatically Construct Domain Ontologies
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    Chapter 66 Generality Evaluation of Automatically Generated Knowledge for the Japanese ConceptNet
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    Chapter 67 Processing Coordinated Structures in PENG Light
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    Chapter 68 A Malay Stemmer for Jawi Characters
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    Chapter 69 Executability in the Situation Calculus
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    Chapter 70 Birdsong Acquisition Model by Sexual Selection Focused on Habitat Density
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    Chapter 71 Speeding Up Bipartite Graph Visualization Method
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    Chapter 72 Enhancement of Learning Experience Using Skill-Challenge Balancing Approach
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    Chapter 73 A Divide-and-Conquer Tabu Search Approach for Online Test Paper Generation
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    Chapter 74 On the Interactions of Awareness and Certainty
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    Chapter 75 On the Implementation of a Theory of Perceptual Mapping
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    Chapter 76 Robotic Communications and Surveillance - The DARPA LANdroids Program
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    Chapter 77 Data Extraction for Search Engine Using Safe Matching
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    Chapter 78 Automatic Static Feature Generation for Compiler Optimization Problems
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    Chapter 79 Multi-objective Optimisation of Power Restoration in Electricity Distribution Systems
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    Chapter 80 Reasoning over OWL/SWRL Ontologies under CWA and UNA for Industrial Applications
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    Chapter 81 Tracking the Preferences of Users Using Weak Estimators
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    Chapter 82 Dynamic Auction for Efficient Competitive Equilibrium under Price Rigidities
Attention for Chapter 22: An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution
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Chapter title
An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution
Chapter number 22
Book title
AI 2011: Advances in Artificial Intelligence
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-25832-9_22
Book ISBNs
978-3-64-225831-2, 978-3-64-225832-9
Authors

Liang, Guohua, Zhu, Xingquan, Zhang, Chengqi, Guohua Liang, Xingquan Zhu, Chengqi Zhang

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Bachelor 1 20%
Student > Doctoral Student 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Engineering 1 20%
Unknown 1 20%