Artificial Neural Networks and Machine Learning – ICANN 2011

Table of Contents

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   Book Overview
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   Chapter 1 A Markov Random Field Approach to Neural Encoding and Decoding
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   Chapter 2 Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs
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   Chapter 3 Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System
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   Chapter 4 Transformation of Edge Weights in a Graph Bipartitioning Problem
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   Chapter 5 A Distributed Behavioral Model Using Neural Fields
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   Chapter 6 A Hypothetical Free Synaptic Energy Function and Related States of Synchrony
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   Chapter 7 Observational Learning Based on Models of Overlapping Pathways
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   Chapter 8 On the Capacity of Transient Internal States in Liquid-State Machines
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    Chapter 9 Hybrid Parallel Classifiers for Semantic Subspace Learning
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    Chapter 10 Temperature Prediction in Electric Arc Furnace with Neural Network Tree
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    Chapter 11 Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization
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    Chapter 12 SOS-HMM: Self-Organizing Structure of Hidden Markov Model
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    Chapter 13 Image Receptive Fields Neural Networks for Object Recognition
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    Chapter 14 A Comparison of the Electric Potential through the Membranes of Ganglion Neurons and Neuroblastoma Cells
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    Chapter 15 SNPboost: Interaction Analysis and Risk Prediction on GWA Data
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    Chapter 16 Binary Patterns Identification by Vector Neural Network with Measure of Proximity between Neuron States
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    Chapter 17 Emerging Bayesian Priors in a Self-Organizing Recurrent Network
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    Chapter 18 Momentum Acceleration of Least–Squares Support Vector Machines
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    Chapter 19 Fast Support Vector Training by Newton’s Method
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    Chapter 20 Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression
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    Chapter 21 Learning from Multiple Annotators with Gaussian Processes
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    Chapter 22 Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System
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    Chapter 23 A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks
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    Chapter 24 Weighted Mutual Information for Feature Selection
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    Chapter 25 Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection
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    Chapter 26 The Authentication System for Multi-modal Behavior Biometrics Using Concurrent Pareto Learning SOM
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    Chapter 27 Hermite Polynomials and Measures of Non-gaussianity
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    Chapter 28 Complex-Valued Independent Component Analysis of Natural Images
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    Chapter 29 Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms
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    Chapter 30 Application of Nonlinear Neural Network Model for Self Sensing Characteristic in an Ionic Polymer Metal Composite (IPMC) Actuator
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    Chapter 31 Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method
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    Chapter 32 High-Dimensional Surveillance
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    Chapter 33 A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application
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    Chapter 34 Neural Network Solution of Optimal Control Problem with Control and State Constraints
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    Chapter 35 Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena
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    Chapter 36 A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems –An Application to Chaos in a Dripping Faucet–
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    Chapter 37 Manifold Learning for Visualization of Vibrational States of a Rotating Machine
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    Chapter 38 Bias of Importance Measures for Multi-valued Attributes and Solutions
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    Chapter 39 A Computationally Efficient Information Estimator for Weighted Data
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    Chapter 40 Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks
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    Chapter 41 A Framework for Application-Oriented Design of Large-Scale Neural Networks
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    Chapter 42 A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events
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    Chapter 43 Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
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    Chapter 44 A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures
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    Chapter 45 A Perceptual Memory System for Affordance Learning in Humanoid Robots
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    Chapter 46 Probabilistic Proactive Timeline Browser
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    Chapter 47 Person Tracking Based on a Hybrid Neural Probabilistic Model
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    Chapter 48 Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging
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    Chapter 49 Modelling Hypothetical Wage Equation by Neural Networks
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    Chapter 50 On the Designing of Spikes Band-Pass Filters for FPGA
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    Chapter 51 An Information Geometrical View of Stationary Subspace Analysis
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    Chapter 52 Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks
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    Chapter 53 Multistart Strategy Using Delta Test for Variable Selection
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    Chapter 54 Speech Recognition Based on the Processing Solutions of Auditory Cortex
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    Chapter 55 A Geometric Bio-inspired Model for Recognition of Low-Level Structures
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    Chapter 56 View-Tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases
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    Chapter 57 ANGE – Automatic Neural Generator
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    Chapter 58 Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning
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    Chapter 59 Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation