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Creatore: 
Mladenov, Valeri

Titolo: 
Artificial Neural Networks and Machine Learning – ICANN 2013 [electronic resource] : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 1013, 2013. Proceedings / edited by Valeri Mladenov, Petia KoprinkovaHristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov

Link to work: 
Artificial Neural Networks and Machine Learning  ICANN 2013

Pubblicazione:  Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013 
Estensione:  XVIII, 643 p. 231 illus. online resource. 
Tipo formato:  computer 
Tipo contenuto:  text 
Tipo supporto:  online resource 
Disciplina:  006.3 
Titolo uniforme di collana:  Lecture notes in computer science ; 8131. 
Classificazione LOC:  Q334342 
TJ210.2211.495  
Creatori/Collaboratori:  KoprinkovaHristova, Petia 
Palm, Günther  
Villa, Alessandro E. P.  
Appollini, Bruno  
Kasabov, Nikola  
Accesso ente:  SpringerLink (Online service) 
Nota di contenuto:  Neural Network Theory and Models  Hessian Corrected Input Noise Models  ModelBased Clustering of Temporal Data  Fast Approximation Method for Gaussian Process Regression Using Hash Function for Nonuniformly Distributed Data  An Analytical Approach to Single Node DelayCoupled Reservoir Computing  Applying GeneralPurpose Data Reduction Techniques for Fast Time Classification  TwoLayer Vector Perceptron  Local Detection of Communities by NeuralNetwork Dynamics  The SuperTuring Computational Power of Interactive Evolving Recurrent Neural Networks  Group Fused Lasso  Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays  Foundations of Online Backpropagation  GNMF with NewtonBased Methods  Improving the Associative Rule Chaining Architecture  Machine Learning and Learning Algorithms  A TwoStage Pretraining Algorithm for Deep Boltzmann Machines  A LowEnergy Implementation of Finite Automata by OptimalSize Neural Nets  A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory  Efficient BaselineFree Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE  Direct Method for Training FeedForward Neural Networks Using Batch Extended Kalman Filter for MultiStepAhead Predictions  Learning with Hard Constraints  Bidirectional Activationbased Neural Network Learning Algorithm  A Neural Network Model for Online MultiTask MultiLabel Pattern Recognition  Novel Feature Selection and KernelBased Value Approximation Method for Reinforcement Learning  Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain  On–Line Laplacian One–Class Support Vector Machines  OSA: OneClass Recursive SVM Algorithm with Negative Sample for Fault Detection.BrainMachine Interaction and Bioinspired Systems EEG Dataset Reduction and Classification Using Wave Atom Transform  Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network  Unsupervised Online Calibration of a cVEP BrainComputer Interface (BCI)  A Biologically Inspired Model for the Detection of External and Internal Head Motions  Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation  Learning Sensorimotor Transformations with Dynamic Neural Fields  Cognitive Sciences and Neuroscience  Learning Temporally Precise Spiking Patterns through Reward Modulated SpikeTimingDependent Plasticity  Memory Trace in Spiking Neural Networks  AttentionGated Reinforcement Learning in Neural Networks—A Unified View  Dynamic Memory for Robot Control Using DelayBased Coincidence Detection Neurones  Robust Principal Component Analysis for Brain Imaging  Phase Control of Coupled Neuron Oscillators  Dendritic Computations in a Rall Model with Strong Distal Stimulation  Modeling Action Verb Semantics Using Motion Tracking  Evolution of Dendritic Morphologies Using Deterministic and Genotype to Phenotype Mapping  Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4  Pattern Recognition and Classification  Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging  Echo State Networks in Dynamic Data Clustering  SelfOrganization in Parallel Coordinates  A General Image Representation Scheme and Its Improvement for Image Analysis  Learning Features for Activity Recognition with ShiftInvariant Sparse Coding  Hearing Aid Classification Based on Audiology Data  BLSTMRNN Based 3D Gesture Classification  Feature Selection for Neural NetworkBased Interval Forecasting of Electricity Demand Data  A Combination of HandCrafted and Hierarchical HighLevel Learnt Feature Extraction for Music Genre Classification  Exploration of Loneliness Questionnaires Using the SelfOrganising Map  An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS  Feature Weighting by Maximum Distance Minimization  Training Computationally Efficient Smartphone–Based Human Activity Recognition Models  A Novel Procedure for Training L1L2 Support Vector Machine Classifiers  Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception  Neural Network Applications in Control and Robotics TimeSeries Forecasting of Indoor Temperature Using Pretrained Deep Neural Networks  Recurrent FuzzyNeural Network with Fast Learning Algorithm for Predictive Control  RealTime Interface Board for ClosedLoop Robotic Tasks on the SpiNNaker Neural Computing System  A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: cedar  Adaptive Critic Neural Network Solution of Optimal Control Problems Discrete Time Delays  Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks  NeuroOptimal Controller for Robot Manipulators  Learning to Walk Using a Recurrent Neural Network with Time Delay  The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design  Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model  Coordinated Rule Acquisition of Decision Making on Supply Chain by ExploitationOriented Reinforcement Learning Beer Game as an Example.Other Applications of Neural Networks  Using Exponential Kernel for Word Sense Disambiguation  Independent Component Analysis Filtration for Value at Risk Modelling  Wind Power Resource Estimation with Deep Neural Networks  Wavelet Neural Networks for Electricity Load Forecasting – Dealing with Border Distortion and Shift Invariance  Interactive TwoLevel WEBSOM for Organizational Exploration  Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method  An Echo State Network with Working Memories for Probabilistic Language Modeling  Using the Analytic Feature Framework for the Detection of Occluded Objects  Boltzmann Machines for Image Denoising  Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval  Vehicle Plate Recognition Using Improved Neocognitron Neural Network. 
Restrizioni accesso:  Access restricted by licensing agreement. 
Sommario/riassunto:  The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics:neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence. 
Collana:  Lecture Notes in Computer Science, 03029743 ; 8131 
Opere correlate: 
Springer ebooks

ISBN:  9783642407284 
Formato:  Risorse elettroniche 
Livello bibliografico  Monografia 
Lingua di pubblicazione:  Inglese 
Record Nr.:  11722057 
Localizzazioni e accesso elettronico  http://dx.doi.org/10.1007/9783642407284 
Lo trovi qui:  Yale University 
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