Del 0 - Lecture Notes in Computer Science

Artificial Neural Networks and Machine Learning -- ICANN 2013

23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings

Häftad, Engelska, 2013

AvValeri Mladenov,Petia Koprinkova-Hristova,Günther Palm,Alessandro Villa,Bruno Apolloni,Nikola K. Kasabov,Gunther Palm

729 kr

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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.

Produktinformation

Utgivningsdatum2013-08-21
Mått155 x 235 x 36 mm
Vikt990 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor643
Upplaga2013
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642407277

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Artificiell intelligens inom Data och IT

Neural Network Theory and Models.- Hessian Corrected Input Noise Models.- Model-Based Clustering of Temporal Data.- Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data.- An Analytical Approach to Single Node Delay-Coupled Reservoir Computing.- Applying General-Purpose Data Reduction Techniques for Fast Time Classification.- Two-Layer Vector Perceptron.- Local Detection of Communities by Neural-Network Dynamics.- The Super-Turing 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 Newton-Based Methods.- Improving the Associative Rule Chaining Architecture.- Machine Learning and Learning Algorithms.- A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines.- A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets.- A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory.- Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE.- Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions.- Learning with Hard Constraints.- Bidirectional Activation-based Neural Network Learning Algorithm.- A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition.- Novel Feature Selection and Kernel-Based 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: One-Class Recursive SVM Algorithm with Negative Sample for Fault Detection.-Brain-Machine Interaction and Bio-inspired Systems EEG Dataset Reduction and Classification Using Wave Atom Transform.- Embodied Language Understanding with a Multiple Timescale Recurrent NeuralNetwork.- Unsupervised Online Calibration of a c-VEP Brain-Computer 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 Spike-Timing-Dependent Plasticity.- Memory Trace in Spiking Neural Networks.- Attention-Gated Reinforcement Learning in Neural Networks—A Unified View.- Dynamic Memory for Robot Control Using Delay-Based 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.- Self-Organization in Parallel Coordinates.- A General Image Representation Scheme and Its Improvement for Image Analysis.- Learning Features for Activity Recognition with Shift-Invariant Sparse Coding.- Hearing Aid Classification Based on Audiology Data.- BLSTM-RNN Based 3D Gesture Classification.- Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data.- A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification.- Exploration of Loneliness Questionnaires Using the Self-Organising Map.- An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS.- Feature Weighting byMaximum Distance Minimization.- Training Computationally Efficient Smartphone–Based Human Activity Recognition Models.- A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers.- Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception.- Neural Network Applications in Control and Robotics Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks.- Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control.- Real-Time Interface Board for Closed-Loop 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.- Neuro-Optimal 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 Exploitation-Oriented 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 Two-Level 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 FeatureFramework 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.