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Artificial Neural Networks and Machine Learning -- ICANN 2012 [[electronic resource] ] : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I / / edited by Alessandro Villa, Wlodzislaw Duch, Peter Erdi, Francesco Masulli, Günther Palm
| Artificial Neural Networks and Machine Learning -- ICANN 2012 [[electronic resource] ] : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I / / edited by Alessandro Villa, Wlodzislaw Duch, Peter Erdi, Francesco Masulli, Günther Palm |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXVII, 739 p. 303 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-642-33269-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Temporal Patterns in Artificial Reaction Networks -- Properties of the Hopfield Model with Weighted Patterns -- Dynamics and Oscillations of GHNNs with Time-Varying Delay -- A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences -- Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure -- The Mix-Matrix Method in the Problem of Binary Quadratic Optimization -- A Rule Chaining Architecture Using a Correlation Matrix Memory -- A Generative Multiset Kernel for Structured Data -- Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization -- Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons -- Tikhonov-Type Regularization for Restricted Boltzmann Machines -- Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates -- Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core -- Impact of Frequency on the Energetic Efficiency of Action Potentials -- A Large-Scale Spiking Neural Network Accelerator for FPGA Systems -- Silicon Neurons That Compute -- A Communication Infrastructure for Emulating Large-Scale Neural Networks Models -- Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity -- Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis -- Bifurcating Neurons with Filtered Base Signals -- Basic Analysis of Digital Spike Maps -- Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL -- A Biophysical Network Model Displaying the Role of Basal Ganglia Pathways in Action Selection -- How Degrading Networks Can Increase Cognitive Functions -- Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities -- Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity -- Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball -- Timing Self-generated Actions for Sensory Streaming -- The Capacity and the Versatility of the Pulse Coupled Neural Network in the Image Matching -- A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron -- Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation -- A Biologically Realizable Bayesian Computation in a Cortical Neural Network -- Evaluating the Effect of Spiking Network Parameters on Polychronization -- Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks -- Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform -- Differential Entropy of Multivariate Neural Spike Trains -- Learning Representations for Animated Motion Sequence and Implied Motion Recognition -- Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning -- Control of Biped Robot Joints’ Angles Using Coordinated Matsuoka Oscillators -- Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors -- Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions -- A Proposed Neural Control for the Trajectory Tracking of a Nonholonomic Mobile Robot with Disturbances -- Simulating Light Adaptation in the Retina with Rod-Cone Coupling -- Evolving Neural Networks for Orientation Behavior of Sand Scorpions towards Prey -- Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition -- Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli -- An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks -- Some Things Psychopathologies Can Tell Us about Consciousness -- Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution -- Contour Detection by CORF Operator -- Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection -- Face Recognition with Disparity Corrected Gabor Phase Differences -- Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree -- Biological Brain and Binary Code: Quality of Coding for Face Recognition -- Making a Reinforcement Learning Agent Believe -- Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks -- Adaptive Neural Oscillator with Synaptic Plasticity Enabling Fast Resonance Tuning -- Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity -- Understanding the Role of Serotonin in Basal Ganglia through a Unified Model -- Learning How to Select an Action: A Computational Model -- A Dynamic Binding Mechanism for Retrieving and Unifying Complex Predicate-Logic Knowledge -- Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders -- Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks -- Learning to Imitate YMCA with an ESN -- A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction -- Bayesian Inference with Efficient Neural Population Codes -- Learning Sequence Neighbourhood Metrics -- Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model -- Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir -- Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network -- The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data -- Echo State Networks for Multi-dimensional Data Clustering -- The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory -- Self-organized Reservoirs and Their Hierarchies -- On-Line Processing of Grammatical Structure Using Reservoir Computing -- Constructing Robust Liquid State Machines to Process Highly Variable Data Streams -- Infinite Sparse Threshold Unit Networks -- Learning Two-Layer Contractive Encodings -- Effects of Architecture Choices on Sparse Coding in Speech Recognition -- Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives -- Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model -- Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain -- Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller -- Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI) -- Recognizing Human Activities Using a Layered Markov Architecture -- PSO for Reservoir Computing Optimization -- One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction -- Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems -- Dual Support Vector Domain Description for Imbalanced Classification -- Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling -- A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations. |
| Record Nr. | UNISA-996465574003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Machine Learning -- ICANN 2012 [[electronic resource] ] : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II / / edited by Alessandro Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm
| Artificial Neural Networks and Machine Learning -- ICANN 2012 [[electronic resource] ] : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II / / edited by Alessandro Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXVIII, 590 p. 172 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-642-33266-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility -- Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning -- Some Comparisons of Networks with Radial and Kernel -- Multilayer Perceptron for Label Ranking -- Electricity Load Forecasting: A Weekday-Based -- Adaptive Exploration Using Stochastic Neurons -- Comparison of Long-Term Adaptivity for Neural Networks -- Simplifying ConvNets for Fast Learning -- A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines -- Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques -- Estimating a Causal Order among Groups of Variables in Linear Models -- Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization -- A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks -- Learning Parameters of Linear Models in Compressed Parameter Space -- Control of a Free-Falling Cat by Policy-Based Reinforcement Learning -- Gated Boltzmann Machine in Texture Modeling -- Neural PCA and Maximum Likelihood Hebbian Learning on the GPU -- Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation -- The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study -- Nested Sequential Minimal Optimization for Support Vector Machines -- Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble -- Text Recognition in Videos Using a Recurrent Connectionist Approach -- An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data -- New Dynamic Classifiers Selection Approach for Handwritten Recognition -- Vector Perceptron Learning Algorithm Using Linear Programming -- TrueSkill-Based Pairwise Coupling for Multi-class Classification -- Analogical Inferences in the Family Trees Task: A Review -- An Efficient Way of Combining SVMs for Handwritten Digit Recognition -- Comparative Evaluation of Regression Methods for 3D-2D Image Registration -- A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition -- Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure -- Instance Selection with Neural Networks for Regression Problems -- A New Distance for Probability Measures Based on the Estimation of Level Sets -- Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis -- Improving Neural Networks Classification through Chaining -- Feature Ranking Methods Used for Selection of Prototypes -- A “Learning from Models” Cognitive Fault Diagnosis System -- Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm -- Learning Using Privileged Information in Prototype Based Models -- A Sparse Support Vector Machine Classifier with Nonparametric Discriminants -- Training Mahalanobis Kernels by Linear Programming -- Correntropy-Based Document Clustering via Nonnegative Matrix Factorization -- SOMM – Self-Organized Manifold Mapping -- Self-Organizing Map and Tree Topology for Graph Summarization -- Variable-Sized Kohonen Feature Map Probabilistic Associative Memory -- Learning Deep Belief Networks from Non-stationary Streams -- Separation and Unification of Individuality and Collectivity and Its Application to Explicit Class Structure in Self-Organizing Maps -- Autoencoding Ground Motion Data for Visualisation -- Examining an Evaluation Mechanism of Metaphor Generation with Experiments and Computational Model Simulation -- Pairwise Clustering with t-PLSI -- Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching -- Neural Networks for Proof-Pattern Recognition -- Using Weighted Clustering and Symbolic Data to Evaluate Institutes Scientific Production -- Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters -- New Approach for Clustering Relational Data Based on Relationship and Attribute Information -- Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms -- Text Mining for Wellbeing: Selecting Stories Using Semantic and Pragmatic Features -- Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts -- and Machine Learning Algorithms -- Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets -- Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers -- The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes -- Protein Structural Blocks Representation and Search through Unsupervised NN -- Evolutionary Support Vector Machines for Time Series Forecasting -- Learning Relevant Time Points for Time-Series Data in the Life Sciences -- A Multivariate Approach to Estimate Complexity of FMRI Time Series -- Neural Architectures for Global Solar Irradiation and Air Temperature Prediction -- Sparse Linear Wind Farm Energy Forecast -- Diffusion Maps and Local Models for Wind Power Prediction -- A Hybrid Model for S&P500 Index Forecasting. |
| Record Nr. | UNISA-996465872303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Machine Learning -- ICANN 2013 [[electronic resource] ] : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov
| Artificial Neural Networks and Machine Learning -- ICANN 2013 [[electronic resource] ] : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 643 p. 231 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-642-40728-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Neural Network -- 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 by Maximum 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 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. |
| Record Nr. | UNISA-996465408603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Machine Learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov
| Artificial Neural Networks and Machine Learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings / / edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro Villa, Bruno Apolloni, Nikola K. Kasabov |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XVIII, 643 p. 231 illus.) |
| Disciplina | 006.32 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Pattern recognition systems Application software Computer vision Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Computer Vision |
| ISBN | 3-642-40728-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Neural Network -- 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 by Maximum 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 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. |
| Record Nr. | UNINA-9910484490903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||