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  • Produktbild: Artificial Neural Networks and Machine Learning -- ICANN 2012
  • Produktbild: Artificial Neural Networks and Machine Learning -- ICANN 2012
Band 7552

Artificial Neural Networks and Machine Learning -- ICANN 2012 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.08.2012

Abbildungen

XXVII, 739 p. 303 illus.

Herausgeber

Alessandro Villa + weitere

Verlag

Springer Berlin

Seitenzahl

739

Maße (L/B/H)

23,5/15,5/4,1 cm

Gewicht

1142 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-33268-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.08.2012

Abbildungen

XXVII, 739 p. 303 illus.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

739

Maße (L/B/H)

23,5/15,5/4,1 cm

Gewicht

1142 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-33268-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Artificial Neural Networks and Machine Learning -- ICANN 2012
  • Produktbild: Artificial Neural Networks and Machine Learning -- ICANN 2012
  • 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 SiliconOxide 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 GangliaPathways 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 NeuralNetworks.- 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 MatsuokaOscillators.- Self-calibrating Marker Tracking in 3D with Event-Based VisionSensors.- 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 andSubsecond 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.- ContourDetection 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 SpikingNeural 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 LearnedMotion 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.