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Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

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Cover of 'Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Hopfield Network
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    Chapter 2 Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks
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    Chapter 3 Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing
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    Chapter 4 Independent Component Analysis Minimizing Convex Divergence
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    Chapter 5 Selecting Salient Features for Classification Committees
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    Chapter 6 Fast and Efficient Training of RBF Networks
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    Chapter 7 Loading Temporal Associative Memory Using the Neuronic Equation
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    Chapter 8 Learning Compatibility Functions for Feature Binding and Perceptual Grouping
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    Chapter 9 Differential ICA
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    Chapter 10 A Comparison of Model Aggregation Methods for Regression
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    Chapter 11 Linear Least-Squares Based Methods for Neural Networks Learning
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    Chapter 12 Optimal Hebbian Learning: A Probabilistic Point of View
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    Chapter 13 Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning
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    Chapter 14 Approximate Learning in Temporal Hidden Hopfield Models
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    Chapter 15 Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier
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    Chapter 16 System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning
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    Chapter 17 Dimension Reduction Based on Orthogonality — A Decorrelation Method in ICA
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    Chapter 18 Selective Sampling Methods in One-Class Classification Problems
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    Chapter 19 Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding
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    Chapter 20 Meta-learning for Fast Incremental Learning
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    Chapter 21 Expectation-MiniMax Approach to Clustering Analysis
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    Chapter 22 Formal Determination of Context in Contextual Recursive Cascade Correlation Networks
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    Chapter 23 Confidence Estimation Using the Incremental Learning Algorithm, Learn++
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    Chapter 24 Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization
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    Chapter 25 Generalization Error Analysis for Polynomial Kernel Methods — Algebraic Geometrical Approach
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    Chapter 26 Regularized Kriging: The Support Vectors Method Applied to Kriging
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    Chapter 27 Support Vector Machine Classifiers for Asymmetric Proximities
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    Chapter 28 Fuzzy Model Identification Using Support Vector Clustering Method
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    Chapter 29 Human Splice Site Identification with Multiclass Support Vector Machines and Bagging
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    Chapter 30 Optimizing Property Codes in Protein Data Reveals Structural Characteristics
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    Chapter 31 Multicategory Bayesian Decision Using a Three-Layer Neural Network
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    Chapter 32 Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis
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    Chapter 33 Prior Hyperparameters in Bayesian PCA
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    Chapter 34 Relevance and Kernel Self-Organising Maps
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    Chapter 35 Hierarchical Bayesian Network for Handwritten Digit Recognition
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    Chapter 36 A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems
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    Chapter 37 Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application
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    Chapter 38 Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers
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    Chapter 39 Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory
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    Chapter 40 Supervised Locally Linear Embedding
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    Chapter 41 Feature Extraction for One-Class Classification
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    Chapter 42 Auto-adaptive and Dynamical Clustering Neural Network
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    Chapter 43 Transformations of Symbolic Data for Continuous Data Oriented Models
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    Chapter 44 Comparing Fuzzy Data Sets by Means of Graph Matching Technique
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    Chapter 45 How to Do Multi-way Classification with Two-Way Classifiers
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    Chapter 46 Sparse Coding with Invariance Constraints
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    Chapter 47 Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths
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    Chapter 48 The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings
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    Chapter 49 Short-Term Memory Optical Flow Image
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    Chapter 50 A Hybrid MLP-PNN Architecture for Fast Image Superresolution
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    Chapter 51 Recognition of Gestural Object Reference with Auditory Feedback
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    Chapter 52 Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen Algorithm
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    Chapter 53 Client Dependent GMM-SVM Models for Speaker Verification
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    Chapter 54 Frequency and Wavelet Filtering for Robust Speech Recognition
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    Chapter 55 Unsupervised Learning of a Kinematic Arm Model
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    Chapter 56 A Design of CMAC Based Intelligent PID Controllers
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    Chapter 57 Learning to Control at Multiple Time Scales
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    Chapter 58 The Evolution of Modular Artificial Neural Networks for Legged Robot Control
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    Chapter 59 Dimensionality Reduction through Sensory-Motor Coordination
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    Chapter 60 Learning Localisation Based on Landmarks Using Self-Organisation
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    Chapter 61 Spatial Independent Component Analysis of Multitask-Related Activation in fMRI Data
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    Chapter 62 Closed Loop Stability of FIR-Recurrent Neural Networks
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    Chapter 63 Selective Noise Cancellation Using Independent Component Analysis
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    Chapter 64 Expert Mixture Methods for Adaptive Channel Equalization
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    Chapter 65 A Relaxation Algorithm Influenced by Self-Organizing Maps
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    Chapter 66 A Gradient Network for Vector Quantization and Its Image Compression Applications
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    Chapter 67 Multi-scale Switching Linear Dynamical Systems
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    Chapter 68 Model Selection with Cross-Validations and Bootstraps — Application to Time Series Prediction with RBFN Models
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    Chapter 69 A Hybrid Neural Architecture and Its Application to Temperature Prediction
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    Chapter 70 Risk Management Application of the Recurrent Mixture Density Network Models
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    Chapter 71 Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling
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    Chapter 72 A Simple Constructing Approach to Build P2P Global Computing Overlay Network
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    Chapter 73 Option Pricing with the Product Constrained Hybrid Neural Network
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    Chapter 74 Self-Organizing Operator Maps in Complex System Analysis
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    Chapter 75 Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic Algorithms
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    Chapter 76 Adaptive Stochastic Classifier for Noisy pH-ISFET Measurements
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    Chapter 77 Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances
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    Chapter 78 Selecting and Ranking Time Series Models Using the NOEMON Approach
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    Chapter 79 Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach
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    Chapter 80 Inversion of a Neural Network via Interval Arithmetic for Rule Extraction
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    Chapter 81 Implementation of Visual Attention System Using Bottom-up Saliency Map Model
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    Chapter 82 A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification
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    Chapter 83 Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data
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    Chapter 84 Protein Sequence Classification Using Probabilistic Motifs and Neural Networks
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    Chapter 85 On a Dynamic Wavelet Network and Its Modeling Application
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    Chapter 86 Low Power Digital Neuron for SOM Implementations
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    Chapter 87 Direction Selective Two-Dimensional Analog Circuits Using Biomedical Vision Model
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    Chapter 88 Review of Capacitive Threshold Gate Implementations
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    Chapter 89 Constructive Threshold Logic Addition
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    Chapter 90 CrossNets: Neuromorphic Networks for Nanoelectronic Implementation
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    Chapter 91 The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist Model
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    Chapter 92 A Neural Model of Binding and Capacity in Visual Working Memory
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    Chapter 93 Neural Network: Input Anticipation May Lead to Advanced Adaptation Properties
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    Chapter 94 Acceleration of Game Learning with Prediction-Based Reinforcement Learning — Toward the Emergence of Planning Behavior —
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    Chapter 95 The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia
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    Chapter 96 Optimal Coding for Naturally Occurring Whisker Deflections
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    Chapter 97 Object Localisation Using Laterally Connected “What” and “Where” Associator Networks
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    Chapter 98 Influence of Membrane Warp on Pulse Propagation Time
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    Chapter 99 Detailed Learning in Narrow Fields – Towards a Neural Network Model of Autism
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    Chapter 100 Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network
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    Chapter 101 The Spike Response Model: A Framework to Predict Neuronal Spike Trains
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    Chapter 102 Roles of Motion and Form in Biological Motion Recognition
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    Chapter 103 Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of High-Dimensional Data
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    Chapter 104 Learning Rule Representations from Boolean Data
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    Chapter 105 Weighted Self-Organizing Maps: Incorporating User Feedback
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    Chapter 106 Classification and Tracking of Hypermedia Navigation Patterns
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    Chapter 107 Self-Aware Networks and Quality of Service
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    Chapter 108 Drawing Attention to the Dangerous
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    Chapter 109 ASK – Acquisition of Semantic Knowledge
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    Chapter 110 An Adaptable Gaussian Neuro-Fuzzy Classifier
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    Chapter 111 Knowledge Refinement Using Fuzzy Compositional Neural Networks
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    Chapter 112 Phase Singular Points Reduction by a Layered Complex-Valued Neural Network in Combination with Constructive Fourier Synthesis
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    Chapter 113 Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network
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    Chapter 114 Adaptive Beamforming by Using Complex-Valued Multi Layer Perceptron
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    Chapter 115 A Complex-Valued Spiking Machine
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    Chapter 116 The behavior of the network consisting of two complex-valued Nagumo-Sato neurons
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    Chapter 117 On Activation Functions for Complex-Valued Neural Networks — Existence of Energy Functions —
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    Chapter 118 The Computational Power of Complex-Valued Neuron
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    Chapter 119 Recommendation Models for User Accesses to Web Pages
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    Chapter 120 A Spectral–Spatial Classification Algorithm for Multispectral Remote Sensing Data
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    Chapter 121 Neural Network Based Material Identification and Part Thickness Estimation from Two Radiographic Images
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    Chapter 122 Selection of Optimal Cutting Conditions by Using the Genetically Optimized Neural Network System (GONNS)
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    Chapter 123 Building RBF Neural Network Topology through Potential Functions
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    Chapter 124 Use of Magnetomyographic (MMG) Signals to Calculate the Dependency Properties of the Active Sensors in Myometrial Activity Monitoring
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    Chapter 125 Speed Enhancement with Soft Computing Hardware
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    Chapter 126 Neural Networks Applied to Electromagnetic Compatibility (EMC) Simulations
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    Chapter 127 Sliding Mode Algorithm for Online Learning in Analog Multilayer Feedforward Neural Networks
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    Chapter 128 Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques
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    Chapter 129 Predicting Bad Credit Risk: An Evolutionary Approach
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    Chapter 130 Indirect Differentiation of Function for a Network of Biologically Plausible Neurons
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    Chapter 131 Application of Vision Models to Traffic Sign Recognition
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    Chapter 132 An Intelligent Scheme for Facial Expression Recognition
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    Chapter 133 Signal Enhancement for Continuous Speech Recognition
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    Chapter 134 Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis
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    Chapter 135 An Emotional Recognition Architecture Based on Human Brain Structure
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    Chapter 136 Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
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    Chapter 137 Feature Analysis and Classification of Protein Secondary Structure Data
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    Chapter 138 Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture
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    Chapter 139 Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature Gating
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    Chapter 140 Some New Features for Protein Fold Prediction
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Title
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003
Published by
Springer Berlin Heidelberg, August 2003
DOI 10.1007/3-540-44989-2
ISBNs
978-3-54-040408-8, 978-3-54-044989-8
Editors

Kaynak, Okyay, Alpaydin, Ethem, Oja, Erkki, Xu, Lei

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 4 22%
Student > Bachelor 2 11%
Professor > Associate Professor 2 11%
Unknown 6 33%
Readers by discipline Count As %
Engineering 4 22%
Computer Science 3 17%
Philosophy 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Arts and Humanities 1 6%
Other 2 11%
Unknown 6 33%

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