Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition
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   Chapter 2 Time Series Prediction Method Based on LS-SVR with Modified Gaussian RBF
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   Chapter 3 An Improved Method of Identification Based on Thermal Palm Vein Image
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   Chapter 4 Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks
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   Chapter 5 A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images
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   Chapter 6 The Brain’s Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses
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   Chapter 7 Estimating Neural Firing Rates: An Empirical Bayes Approach
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   Chapter 8 Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods
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    Chapter 9 Improving Risk Predictions by Preprocessing Imbalanced Credit Data
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    Chapter 10 Hybrid Validation of Handwriting Process Modelling
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    Chapter 11 Off-Line Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel
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    Chapter 12 Bayesian Modeling of Visual Attention
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    Chapter 13 Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity
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    Chapter 14 Optimization of SIRMs Fuzzy Model Using Łukasiewicz Logic
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    Chapter 15 Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning
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    Chapter 16 Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects
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    Chapter 17 The Elastic Net as Visual Category Representation: Visualisation and Classification
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    Chapter 18 A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning
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    Chapter 19 Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology
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    Chapter 20 A Dynamic Bio-inspired Model of Categorization
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    Chapter 21 Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining
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    Chapter 22 Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study
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    Chapter 23 Identification of Neural Network Structure from Multiple Spike Sequences
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    Chapter 24 Neural Information Processing
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    Chapter 25 Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting
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    Chapter 26 GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces
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    Chapter 27 A Regularized Linear Classifier for Effective Text Classification
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    Chapter 28 A Real-Time, Event-Driven Neuromorphic System for Goal-Directed Attentional Selection
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    Chapter 29 Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements
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    Chapter 30 Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance
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    Chapter 31 Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines
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    Chapter 32 Using Agent Based Modeling and Simulation for Data Mining
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    Chapter 33 Neurodynamical Top-Down Processing during Auditory Attention
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    Chapter 34 A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization
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    Chapter 35 Human-Like Intuitive Playing in Board Games
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    Chapter 36 Identification of Diffusion Coefficient in Nonhomogeneous Landscapes
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    Chapter 37 Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks
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    Chapter 38 Generation of Environmental Representation of a Large Indoor Parking Lot
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    Chapter 39 Survey on Simplified Olfactory Bionic Model to Generate Texture Images
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    Chapter 40 An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application
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    Chapter 41 A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification
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    Chapter 42 Multitask Twin Support Vector Machines
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    Chapter 43 Bandit-Based Structure Learning for Bayesian Network Classifiers
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    Chapter 44 Modeling the Mental Differentiation Task with EEG
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    Chapter 45 Office-Space-Allocation Problem Using Harmony Search Algorithm
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    Chapter 46 A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification
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    Chapter 47 An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses
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    Chapter 48 Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model
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    Chapter 49 Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment
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    Chapter 50 Validation Based Sparse Gaussian Processes for Ordinal Regression
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    Chapter 51 Cross-Subject Classification of Speaking Modes Using fNIRS
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    Chapter 52 Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks
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    Chapter 53 A Novel Node Splitting Criteria for Decision Trees Based on Theil Index
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    Chapter 54 Modeling of Polycaprolactone Production from ε -Caprolactone Using Neural Network
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    Chapter 55 Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting
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    Chapter 56 Suppression of Functional System with Markovian Switching
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    Chapter 57 P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law Distributions
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    Chapter 58 A Novel Method of Sparse Least Squares Support Vector Machines in Class Empirical Feature Space
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    Chapter 59 Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support
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    Chapter 60 Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction
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    Chapter 61 Delay-Dependent Stabilization of Uncertain Distributed Systems with Interval Time-Varying Delay
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    Chapter 62 GARF: Towards Self-optimised Random Forests
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    Chapter 63 TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems
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    Chapter 64 Feature Selection for Electricity Load Prediction
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    Chapter 65 Statistical and Machine Learning Methods for Electricity Demand Prediction
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    Chapter 66 EnerPlan: Smart Energy Management Planning for Home Users
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    Chapter 67 Harnessing Chaotic Activation Functions in Training Neural Network
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    Chapter 68 Self-correcting Symmetry Detection Network
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    Chapter 69 Parallel Support Vector Configuration for Identification of Fast Independent Components in Morphological Patterns Derived by Cardiovasographic Analysis on the Radial Pulse
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    Chapter 70 Energy-Based Temporal Neural Networks for Imputing Missing Values
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    Chapter 71 Emergence of Multi-step Discrete State Transition through Reinforcement Learning with a Recurrent Neural Network
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    Chapter 72 Collaborative Generative Topographic Mapping
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    Chapter 73 Rule Extraction from Ensemble Methods Using Aggregated Decision Trees
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    Chapter 74 Classification of Power Quality Disturbances Using Artificial Neural Networks and a Logarithmically Compressed S-Transform
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    Chapter 75 Multi-threaded Support Vector Machines for Pattern Recognition
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    Chapter 76 A Malware Collection and Analysis Framework Based on Darknet Traffic
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    Chapter 77 Markovian Models for Electrical Load Prediction in Smart Buildings
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    Chapter 78 Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
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    Chapter 79 Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution
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    Chapter 80 Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics
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    Chapter 81 SVM-Based Just-in-Time Adaptive Classifiers
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    Chapter 82 Machine Learning Approach to Enhance the Design of Automated Theorem Provers
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    Chapter 83 Orthogonalized Partial Directed Coherence for Functional Connectivity Analysis of Newborn EEG
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    Chapter 84 Neural Information Processing