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Artificial neural networks -- ICANN 2007

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Marker-Based Model for the Ontogenesis of Routing Circuits
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    Chapter 1 Generalization Error of Automatic Relevance Determination
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    Chapter 2 A Neural Network for the Analysis of Multisensory Integration in the Superior Colliculus
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    Chapter 2 On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities
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    Chapter 3 Neurotransmitter Fields
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    Chapter 3 Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja’s Learning
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    Chapter 4 SimBa: A Fuzzy Similarity-Based Modelling Framework for Large-Scale Cerebral Networks
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    Chapter 4 Theoretical Analysis of Accuracy of Gaussian Belief Propagation
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    Chapter 5 A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task
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    Chapter 5 Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks
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    Chapter 6 An Improved Greedy Bayesian Network Learning Algorithm on Limited Data
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    Chapter 6 Spatial and Temporal Selectivity of Hippocampal CA3 and Its Contribution to Sequence Disambiguation
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    Chapter 7 Incremental One-Class Learning with Bounded Computational Complexity
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    Chapter 7 Lateral and Elastic Interactions: Deriving One Form from Another
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    Chapter 8 Estimating the Size of Neural Networks from the Number of Available Training Data
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    Chapter 8 A Survey on Use of Soft Computing Methods in Medicine
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    Chapter 9 Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes
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    Chapter 9 A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture
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    Chapter 10 Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping
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    Chapter 10 Estimation of Poles of Zeta Function in Learning Theory Using Padé Approximation
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    Chapter 11 Neural Network Ensemble Training by Sequential Interaction
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    Chapter 11 Identifying Binding Sites in Sequential Genomic Data
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    Chapter 12 Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification
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    Chapter 12 On the Combination of Dissimilarities for Gene Expression Data Analysis
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    Chapter 13 A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds
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    Chapter 13 Structure Learning with Nonparametric Decomposable Models
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    Chapter 14 Recurrent Bayesian Reasoning in Probabilistic Neural Networks
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    Chapter 14 Learning Temporally Stable Representations from Natural Sounds: Temporal Stability as a General Objective Underlying Sensory Processing
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    Chapter 15 Resilient Approximation of Kernel Classifiers
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    Chapter 15 Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression
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    Chapter 16 Incremental Learning of Spatio-temporal Patterns with Model Selection
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    Chapter 16 Classifying EEG Data into Different Memory Loads Across Subjects
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    Chapter 17 Information Theoretic Derivations for Causality Detection: Application to Human Gait
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    Chapter 17 Accelerating Kernel Perceptron Learning
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    Chapter 18 Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture
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    Chapter 18 Template Matching for Large Transformations
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    Chapter 19 Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network
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    Chapter 19 Fuzzy Classifiers Based on Kernel Discriminant Analysis
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    Chapter 20 A Fast Semi-linear Backpropagation Learning Algorithm
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    Chapter 20 An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
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    Chapter 21 Face Recognition Using Parzenfaces
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    Chapter 21 Improving the GRLVQ Algorithm by the Cross Entropy Method
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    Chapter 22 A Comparison of Features in Parts-Based Object Recognition Hierarchies
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    Chapter 22 Incremental and Decremental Learning for Linear Support Vector Machines
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    Chapter 23 An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors
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    Chapter 23 An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
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    Chapter 24 Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System
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    Chapter 24 Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts
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    Chapter 25 Input Selection for Radial Basis Function Networks by Constrained Optimization
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    Chapter 25 An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition
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    Chapter 26 An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning Rate
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    Chapter 26 Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations
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    Chapter 27 Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps
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    Chapter 27 Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks
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    Chapter 28 Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
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    Chapter 28 Some Properties of the Gaussian Kernel for One Class Learning
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    Chapter 29 Improved SOM Learning Using Simulated Annealing
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    Chapter 29 Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
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    Chapter 30 Split–Merge Incremental LEarning (SMILE) of Mixture Models
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    Chapter 30 The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization
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    Chapter 31 Designing Modular Artificial Neural Network Through Evolution
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    Chapter 31 Least-Mean-Square Training of Cluster-Weighted Modeling
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    Chapter 32 Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks
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    Chapter 32 Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis
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    Chapter 33 Selection of Decision Stumps in Bagging Ensembles
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    Chapter 33 Clustering Evaluation in Feature Space
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    Chapter 34 An Ensemble Dependence Measure
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    Chapter 34 A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
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    Chapter 35 Fuzzy Labeled Self-organizing Map with Kernel-Based Topographic Map Formation
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    Chapter 35 Boosting Unsupervised Competitive Learning Ensembles
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    Chapter 36 Self-organizing Maps of Spiking Neurons with Reduced Precision of Correlated Firing
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    Chapter 36 Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity
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    Chapter 37 SpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks
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    Chapter 37 Visualising Class Distribution on Self-organising Maps
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    Chapter 38 Self-organizing Maps with Refractory Period
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    Chapter 38 Evolutionary Multi-objective Optimization of Spiking Neural Networks
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    Chapter 39 Building a Bridge Between Spiking and Artificial Neural Networks
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    Chapter 39 Improving the Correlation Hunting in a Large Quantity of SOM Component Planes
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    Chapter 40 Clustering of Nonlinearly Separable Data Using Spiking Neural Networks
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    Chapter 40 A Dynamical Model for Receptive Field Self-organization in V1 Cortical Columns
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    Chapter 41 Meta-evolution Strategy to Focused Crawling on Semantic Web
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    Chapter 41 Artificial Neural Networks – ICANN 2007
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    Chapter 42 Deformable Radial Basis Functions
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    Chapter 42 Automated Text Categorization Based on Readability Fingerprints
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    Chapter 43 Selection of Basis Functions Guided by the L2 Soft Margin
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    Chapter 43 Personalized Web Page Filtering Using a Hopfield Neural Network
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    Chapter 44 Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors
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    Chapter 44 Robust Text Classification Using a Hysteresis-Driven Extended SRN
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    Chapter 45 Semi-supervised Metrics for Textual Data Visualization
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    Chapter 45 Functional Modelling of Large Scattered Data Sets Using Neural Networks
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    Chapter 46 Stacking MF Networks to Combine the Outputs Provided by RBF Networks
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    Chapter 46 Topology Aware Internet Traffic Forecasting Using Neural Networks
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    Chapter 47 Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network
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    Chapter 47 Neural Network Processing for Multiset Data.
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    Chapter 48 Classification of Temporal Data Based on Self-organizing Incremental Neural Network
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    Chapter 48 The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition
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    Chapter 49 Estimating the Impact of Shocks with Artificial Neural Networks
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    Chapter 49 Partially Activated Neural Networks by Controlling Information
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    Chapter 50 CNN Based Hole Filler Template Design Using Numerical Integration Techniques
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    Chapter 50 Greedy KPCA in Biomedical Signal Processing
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    Chapter 51 The Use of Artificial Neural Networks in the Speech Understanding Model - SUM
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    Chapter 51 Impact of Shrinking Technologies on the Activation Function of Neurons
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    Chapter 52 On Incorporating Seasonal Information on Recursive Time Series Predictors
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    Chapter 52 Rectangular Basis Functions Applied to Imbalanced Datasets
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    Chapter 53 Can Neural Networks Learn the “Head and Shoulders“ Technical Analysis Price Pattern? Towards a Methodology for Testing the Efficient Market Hypothesis
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    Chapter 53 Qualitative Radial Basis Function Networks Based on Distance Discretization for Classification Problems
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    Chapter 54 A Control Approach to a Biophysical Neuron Model
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    Chapter 54 Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
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    Chapter 55 Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity
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    Chapter 55 Content-Based Image Retrieval by Combining Genetic Algorithm and Support Vector Machine
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    Chapter 56 Multi-dimensional Recurrent Neural Networks
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    Chapter 56 Global and Local Preserving Feature Extraction for Image Categorization
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    Chapter 57 FPGA Implementation of an Adaptive Stochastic Neural Model
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    Chapter 57 Iris Recognition for Biometric Personal Identification Using Neural Networks
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    Chapter 58 No-Reference Quality Assessment of JPEG Images by Using CBP Neural Networks
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    Chapter 58 Global Robust Stability of Competitive Neural Networks with Continuously Distributed Delays and Different Time Scales
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    Chapter 59 A Bio-inspired Connectionist Approach for Motion Description Through Sequences of Images
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    Chapter 59 Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes
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    Chapter 60 Modeling of Dynamics Using Process State Projection on the Self Organizing Map
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    Chapter 60 Color Object Recognition in Real-World Scenes
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    Chapter 61 Estimation of Pointing Poses on Monocular Images with Neural Techniques - An Experimental Comparison
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    Chapter 61 Fixed Points of the Abe Formulation of Stochastic Hopfield Networks
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    Chapter 62 Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm
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    Chapter 62 Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps
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    Chapter 63 Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields
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    Chapter 63 Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences
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    Chapter 64 Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)
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    Chapter 64 A Neurofuzzy Controller for a Single Link Flexible Manipulator
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    Chapter 65 Cluster Domains in Binary Minimization Problems
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    Chapter 65 Suboptimal Nonlinear Predictive Control with Structured Neural Models
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    Chapter 66 Neural Dynamics Based Exploration Algorithm for a Mobile Robot
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    Chapter 66 MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
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    Chapter 67 Generalized Softmax Networks for Non-linear Component Extraction
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    Chapter 67 Neural Models in Computationally Efficient Predictive Control Cooperating with Economic Optimisation
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    Chapter 68 Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing
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    Chapter 68 Stochastic Weights Reinforcement Learning for Exploratory Data Analysis
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    Chapter 69 Post Nonlinear Independent Subspace Analysis
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    Chapter 69 Model Reference Control Using CMAC Neural Networks
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    Chapter 70 Algebraic Geometric Study of Exchange Monte Carlo Method
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    Chapter 70 A Three-Stage Approach Based on the Self-organizing Map for Satellite Image Classification
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    Chapter 71 Performance Analysis of MLP-Based Radar Detectors in Weibull-Distributed Clutter with Respect to Target Doppler Frequency
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    Chapter 71 Solving Deep Memory POMDPs with Recurrent Policy Gradients
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    Chapter 72 Local Positioning System Based on Artificial Neural Networks
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    Chapter 72 Soft Clustering for Nonparametric Probability Density Function Estimation
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    Chapter 73 Vector Field Approximation by Model Inclusive Learning of Neural Networks
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    Chapter 73 An Adaptive Neuro-Fuzzy Inference System for Calculation Resonant Frequency and Input Resistance of Microstrip Dipole Antenna
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    Chapter 74 Spectral Measures for Kernel Matrices Comparison
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    Chapter 74 GARCH Processes with Non-parametric Innovations for Market Risk Estimation
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    Chapter 75 Forecasting Portugal Global Load with Artificial Neural Networks
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    Chapter 75 A Novel and Efficient Method for Testing Non Linear Separability
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    Chapter 76 Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting
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    Chapter 76 A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems
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    Chapter 77 Spike-Timing-Dependent Synaptic Plasticity to Learn Spatiotemporal Patterns in Recurrent Neural Networks
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    Chapter 77 Separation and Recognition of Multiple Sound Source Using Pulsed Neuron Model
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    Chapter 78 A Distributed Message Passing Algorithm for Sensor Localization
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    Chapter 78 Text-Independent Speaker Authentication with Spiking Neural Networks
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    Chapter 79 Interferences in the Transformation of Reference Frames During a Posture Imitation Task
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    Chapter 79 An Analytical Model of Divisive Normalization in Disparity-Tuned Complex Cells
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    Chapter 80 Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting
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    Chapter 80 Automatic Design of Modular Neural Networks Using Genetic Programming
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    Chapter 81 Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints
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    Chapter 81 A MLP Solver for First and Second Order Partial Differential Equations
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    Chapter 82 A Two-Layer ICA-Like Model Estimated by Score Matching
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    Chapter 82 Meta Learning Intrusion Detection in Real Time Network
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    Chapter 83 Testing Component Independence Using Data Compressors
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    Chapter 83 Active Learning to Support the Generation of Meta-examples
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    Chapter 84 K -Pages Graph Drawing with Multivalued Neural Networks
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    Chapter 84 Co-learning and the Development of Communication
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    Chapter 85 Recursive Principal Component Analysis of Graphs
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    Chapter 85 Models of Orthogonal Type Complex-Valued Dynamic Associative Memories and Their Performance Comparison
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    Chapter 86 A Method to Estimate the Graph Structure for a Large MRF Model
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    Chapter 86 Dynamics of Discrete-Time Quaternionic Hopfield Neural Networks
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    Chapter 87 Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices
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    Chapter 87 Neural Substructures for Appraisal in Emotion: Self-esteem and Depression
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    Chapter 88 The Link Between Temporal Attention and Emotion: A Playground for Psychology, Neuroscience, and Plausible Artificial Neural Networks
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    Chapter 88 Optimal Learning Rates for Clifford Neurons
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    Chapter 89 Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
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    Chapter 89 Inferring Cognition from fMRI Brain Images
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    Chapter 90 Error Reduction in Holographic Movies Using a Hybrid Learning Method in Coherent Neural Networks
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    Chapter 90 Modelling the N2pc and Its Interaction with Value
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    Chapter 91 Sparse and Transformation-Invariant Hierarchical NMF
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    Chapter 91 Biasing Neural Networks Towards Exploration or Exploitation Using Neuromodulation
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    Chapter 92 Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying
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    Chapter 92 A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements
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    Chapter 93 Polynomial Cellular Neural Networks for Implementing the Game of Life
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    Chapter 93 A Cognitive Model That Describes the Influence of Prior Knowledge on Concept Learning
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    Chapter 94 Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model
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    Chapter 94 Developing Concept Representations
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    Chapter 95 The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences
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    Chapter 95 Self-perturbation and Homeostasis in Embodied Recurrent Neural Networks: A Meta-model and Some Explorations with Mechanisms for Sensorimotor Coordination
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    Chapter 96 Clustering Limit Cycle Oscillators by Spectral Analysis of the Synchronisation Matrix with an Additional Phase Sensitive Rotation
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    Chapter 96 An Oscillatory Model for Multimodal Processing of Short Language Instructions
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    Chapter 97 Towards Understanding of Natural Language: Neurocognitive Inspirations
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    Chapter 97 Control and Synchronization of Chaotic Neurons Under Threshold Activated Coupling
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    Chapter 98 A Computational Model of Metaphor Understanding Consisting of Two Processes
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    Chapter 98 Neuronal Multistability Induced by Delay
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    Chapter 99 A Novel Novelty Detector
Attention for Chapter 78: A Distributed Message Passing Algorithm for Sensor Localization
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Chapter title
A Distributed Message Passing Algorithm for Sensor Localization
Chapter number 78
Book title
Artificial Neural Networks – ICANN 2007
Published by
Springer, Berlin, Heidelberg, September 2007
DOI 10.1007/978-3-540-74690-4_78
Book ISBNs
978-3-54-074689-8, 978-3-54-074690-4
Authors

Max Welling, Joseph J. Lim

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Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 8%
Belgium 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 46%
Student > Bachelor 1 8%
Student > Master 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 4 31%
Engineering 3 23%
Economics, Econometrics and Finance 2 15%
Physics and Astronomy 1 8%
Unknown 3 23%