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Produktbild: Artificial Neural Networks – ICANN 2009
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Artificial Neural Networks – ICANN 2009 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.09.2009

Abbildungen

mit Illustrationen

Herausgeber

Cesare Alippi + weitere

Verlag

Springer Berlin

Seitenzahl

1030

Maße (L/B/H)

24/15,9/3,8 cm

Gewicht

1580 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-04273-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.09.2009

Abbildungen

mit Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

1030

Maße (L/B/H)

24/15,9/3,8 cm

Gewicht

1580 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-04273-7

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 6221 3454301
Fax: +49 30 8214091

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  • Produktbild: Artificial Neural Networks – ICANN 2009
  • Learning Algorithms.- Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.- Kernel Learning for Local Learning Based Clustering.- Projective Nonnegative Matrix Factorization with ?-Divergence.- Active Generation of Training Examples in Meta-Regression.- A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains.- Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning.- MINLIP: Efficient Learning of Transformation Models.- Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data.- Optimal Training Sequences for Locally Recurrent Neural Networks.- Statistical Instance-Based Ensemble Pruning for Multi-class Problems.- Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.- Mixing Different Search Biases in Evolutionary Learning Algorithms.- Semi-supervised Learning for Regression with Co-training by Committee.- An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.- Probability-Based Distance Function for Distance-Based Classifiers.- Constrained Learning Vector Quantization or Relaxed k-Separability.- Minimization of Quadratic Binary Functional with Additive Connection Matrix.- Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory.- Computational Neuroscience.- Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses.- Coexistence of Cell Assemblies and STDP.- Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control.- Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain.- A Model of Neuronal Specialization Using Hebbian Policy-Gradient with “Slow” Noise.- How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition.- Optimizing Generic Neural Microcircuits through Reward Modulated STDP.- Calcium Responses Model in Striatum Dependent on Timed Input Sources.- Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2.- Hippocampus, Amygdala and Basal Ganglia Based Navigation Control.- A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks.- Continuous Attractors of Lotka-Volterra Recurrent Neural Networks.- Learning Complex Population-Coded Sequences.- Structural Analysis on STDP Neural Networks Using Complex Network Theory.- Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity.- Information Processing and Timing Mechanisms in Vision.- Review of Neuron Types in the Retina: Information Models for Neuroengineering.- Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation.- A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields.- Hardware Implementations and Embedded Systems.- Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition.- Multifold Acceleration of Neural Network Computations Using GPU.- Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit.- A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor.- Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System.- Minimising Contrastive Divergence with Dynamic Current Mirrors.- Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis.- Image Recognition in Analog VLSI with On-Chip Learning.- Behavior Modeling by Neural Networks.- Statistical Parameter Identification of Analog Integrated Circuit Reverse Models.- A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials.- FPGA Implementation of Support Vector Machines for 3D Object Identification.- Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation.- Self Organization.- A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means.- Image Theft Detection with Self-Organising Maps.- Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns.- Surface Reconstruction Method Based on a Growing Self-Organizing Map.- Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing Maps.- Identifying Clusters Using Growing Neural Gas: First Results.- Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning.- Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems.- Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model.- Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series.- Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations.- Intelligent Control and Adaptive Systems.- Height Defuzzification Method on L ??? Space.- An Additive Reinforcement Learning.- Neural Spike Suppression by Adaptive Control of an Unknown Steady State.- Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields.- Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance.- High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear Systems.- Neural and Hybrid Architectures.- A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network.- Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions.- On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study.- Dynamics of Incremental Learning by VSF-Network.- Kernel CMAC with Reduced Memory Complexity.- Model Complexity of Neural Networks and Integral Transforms.- Function Decomposition Network.- Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes.- Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner’s Dilemma.- Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots.- Switching Hidden Markov Models for Learning of Motion Patterns in Videos.- Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals.- A Neural Network Model of Metaphor Generation with Dynamic Interaction.- Almost Random Projection Machine.- Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance.- Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method.- Neuro-fuzzy Rough Classifier Ensemble.- Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset.- An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation.- Pattern Identification by Committee of Potts Perceptrons.- Support Vector Machine.- Is Primal Better Than Dual.- A Fast BMU Search for Support Vector Machine.- European Option Pricing by Using the Support Vector Regression Approach.- Learning SVMs from Sloppily Labeled Data.- The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech.- A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems.- Spanning SVM Tree for Personalized Transductive Learning.- Improving Text Classification Performance with Incremental Background Knowledge.- Empirical Study of the Universum SVM Learning for High-Dimensional Data.- Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection.- Recurrent Neural Network.- Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model Complexity.- An EM Based Training Algorithm for Recurrent Neural Networks.- Modeling D st  with Recurrent EM Neural Networks.- On the Quantification of Dynamics in Reservoir Computing.- Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks.- Scalable Neural Networks for Board Games.- Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems.