Adaptive and Natural Computing Algorithms

Table of Contents

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   Book Overview
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   Chapter 1 Asymmetric k-Means Algorithm
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   Chapter 2 Gravitational Clustering of the Self-Organizing Map
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   Chapter 3 A General Method for Visualizing and Explaining Black-Box Regression Models
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   Chapter 4 An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems
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   Chapter 5 Evaluation of a Resource Allocating Network with Long Term Memory Using GPU
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   Chapter 6 Gabor Descriptors for Aerial Image Classification
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   Chapter 7 Text Representation in Multi-label Classification: Two New Input Representations
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   Chapter 8 Fraud Detection in Telecommunications Using Kullback-Leibler Divergence and Latent Dirichlet Allocation
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    Chapter 9 Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface Experiment
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    Chapter 10 Fast Projection Pursuit Based on Quality of Projected Clusters
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    Chapter 11 A New N-gram Feature Extraction-Selection Method for Malicious Code
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    Chapter 12 A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures
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    Chapter 13 A Model of Saliency-Based Selective Attention for Machine Vision Inspection Application
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    Chapter 14 Grapheme-Phoneme Translator for Brazilian Portuguese
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    Chapter 15 Improvement of Inventory Control under Parametric Uncertainty and Constraints
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    Chapter 16 Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints
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    Chapter 17 Using CMAC for Mobile Robot Motion Control
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    Chapter 18 Optimizing the Robustness of Scale-Free Networks with Simulated Annealing
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    Chapter 19 Numerically Efficient Analytical MPC Algorithm Based on Fuzzy Hammerstein Models
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    Chapter 20 Online Adaptation of Path Formation in UAV Search-and-Identify Missions
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    Chapter 21 Reconstruction of Causal Networks by Set Covering
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    Chapter 22 The Noise Identification Method Based on Divergence Analysis in Ensemble Methods Context
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    Chapter 23 Efficient Predictive Control and Set–Point Optimization Based on a Single Fuzzy Model
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    Chapter 24 Wind Turbines States Classification by a Fuzzy-ART Neural Network with a Stereographic Projection as a Signal Normalization
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    Chapter 25 Binding and Cross-Modal Learning in Markov Logic Networks
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    Chapter 26 Chaotic Exploration Generator for Evolutionary Reinforcement Learning Agents in Nondeterministic Environments
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    Chapter 27 Parallel Graph Transformations Supported by Replicated Complementary Graphs
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    Chapter 28 Diagnosis of Cardiac Arrhythmia Using Fuzzy Immune Approach
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    Chapter 29 Adaptive Finite Automaton: A New Algebraic Approach
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    Chapter 30 Cryptanalytic Attack on the Self-Shrinking Sequence Generator
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    Chapter 31 About Nonnegative Matrix Factorization: On the posrank Approximation
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    Chapter 32 Stability of Positive Fractional Continuous-Time Linear Systems with Delays
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    Chapter 33 Output-Error Model Training for Gaussian Process Models
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    Chapter 34 Learning Readers’ News Preferences with Support Vector Machines
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    Chapter 35 Incorporating a Priori Knowledge from Detractor Points into Support Vector Classification
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    Chapter 36 A Hybrid AIS-SVM Ensemble Approach for Text Classification
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    Chapter 37 Regression Based on Support Vector Classification
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    Chapter 38 Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs
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    Chapter 39 X-ORCA - A Biologically Inspired Low-Cost Localization System
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    Chapter 40 On the Origin and Features of an Evolved Boolean Model for Subcellular Signal Transduction Systems
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    Chapter 41 Similarity of Transcription Profiles for Genes in Gene Sets