Hybrid Artificial Intelligent Systems

Table of Contents

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   Book Overview
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   Chapter 1 Hybrid Decision Tree Architecture Utilizing Local SVMs for Multi-Label Classification
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   Chapter 2 Ensemble Pruning Using Harmony Search
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   Chapter 3 A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees
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   Chapter 4 Combining the Advantages of Neural Networks and Decision Trees for Regression Problems in a Steel Temperature Prediction System
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   Chapter 5 Transfer Learning Approach to Debt Portfolio Appraisal
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   Chapter 6 Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output
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   Chapter 7 Towards the Reduction of Data Used for the Classification of Network Flows
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   Chapter 8 Encrypting Digital Images Using Cellular Automata
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    Chapter 9 Self-Organizing Maps versus Growing Neural Gas in Detecting Data Outliers for Security Applications
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    Chapter 10 Cryptographic Applications of 3x3 Block Upper Triangular Matrices
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    Chapter 11 Digital Chaotic Noise Using Tent Map without Scaling and Discretization Process
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    Chapter 12 Hubness-Aware Shared Neighbor Distances for High-Dimensional k -Nearest Neighbor Classification
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    Chapter 13 Comparison of Competitive Learning for SOM Used in Classification of Partial Discharge
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    Chapter 14 Identification of Different Types of Minority Class Examples in Imbalanced Data
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    Chapter 15 Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers
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    Chapter 16 An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k -NN Classifier
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    Chapter 17 A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection
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    Chapter 18 Improving Multi-label Classifiers via Label Reduction with Association Rules
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    Chapter 19 A GA-Based Wrapper Feature Selection for Animal Breeding Data Mining
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    Chapter 20 A Simple Noise-Tolerant Abstraction Algorithm for Fast k -NN Classification
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    Chapter 21 Adaptive Inventory Control in Production Systems
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    Chapter 22 Hybrid Artificial Intelligence System in Constraint Based Scheduling of Integrated Manufacturing ERP Systems
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    Chapter 23 Intelligent Data Processing in Recycling of Household Appliances
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    Chapter 24 Assessment of Risk in a Production System with the Use of the FMEA Analysis and Linguistic Variables
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    Chapter 25 Hybrid Methods Aiding Organisational and Technological Production Preparation Using Simulation Models of Nonlinear Production Systems
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    Chapter 26 The Concept of Intelligent System for Horizontal Transport in a Copper Ore Mine
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    Chapter 27 Integration Production Planning and Scheduling Systems for Determination of Transitional Phases in Repetitive Production
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    Chapter 28 The Hybrid Method of Knowledge Representation in a CAPP Knowledge Based System
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    Chapter 29 An Experimental Study of Different Ordinal Regression Methods and Measures
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    Chapter 30 Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology
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    Chapter 31 Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions
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    Chapter 32 A Genetic Programming Approach for Solving the Linear Ordering Problem
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    Chapter 33 Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms
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    Chapter 34 A Simple Artificial Chemistry Model for Nash Equilibria Detection in Large Cournot Games
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    Chapter 35 Dynamics of Networks Evolved for Cellular Automata Computation
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    Chapter 36 From Likelihood Uncertainty to Fuzziness: A Possibility-Based Approach for Building Clinical DSSs
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    Chapter 37 Combining Metaheuristic Algorithms to Solve a Scheduling Problem
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    Chapter 38 Image Analysis Pipeline for Automatic Karyotyping
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    Chapter 39 A Hybrid Gradient for n-Dimensional Images through Hyperspherical Coordinates
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    Chapter 40 A Hybrid Segmentation of Abdominal CT Images
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    Chapter 41 Hybrid Computational Methods for Hyperspectral Image Analysis
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    Chapter 42 Image Security and Biometrics: A Review
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    Chapter 43 Cocaine Dependent Classification Using Brain Magnetic Resonance Imaging
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    Chapter 44 A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion
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    Chapter 45 Spherical CIELab QAMs: Associative Memories Based on the CIELab System and Quantales for the Storage of Color Images
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    Chapter 46 Fuzzy Associative Memories Based on Subsethood and Similarity Measures with Applications to Speaker Identification
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    Chapter 47 A Novel Lattice Associative Memory Based on Dendritic Computing
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    Chapter 48 Vascular Section Estimation in Medical Images Using Combined Feature Detection and Evolutionary Optimization
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    Chapter 49 Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data
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    Chapter 50 Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift
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    Chapter 51 Continuous User Feedback Learning for Data Capture from Business Documents
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    Chapter 52 Evolutionary Adapted Ensemble for Reoccurring Context
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    Chapter 53 Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation
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    Chapter 54 Decomposition of Classification Task with Selection of Classifiers on the Medical Diagnosis Example
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    Chapter 55 Ensemble of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition
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    Chapter 56 Combining Diverse One-Class Classifiers