Coverart for item
The Resource Artificial neural networks and machine learning-- ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I, Alessandro E. Villa [and others] (eds.)

Artificial neural networks and machine learning-- ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I, Alessandro E. Villa [and others] (eds.)

Label
Artificial neural networks and machine learning-- ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I
Title
Artificial neural networks and machine learning-- ICANN 2012
Title remainder
22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings
Title number
Part I
Statement of responsibility
Alessandro E. Villa [and others] (eds.)
Title variation
ICANN 2012
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting
Member of
Cataloging source
GW5XE
Dewey number
006.3/2
Index
index present
Language note
English
LC call number
QA76.87
LC item number
.I23 2012
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2012
http://bibfra.me/vocab/lite/meetingName
ICANN 2012
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Villa, Alessandro E. P.
Series statement
  • Lecture notes in computer science,
  • LNCS sublibrary. SL 1, Theoretical computer science and general issues
Series volume
7552
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • Machine learning
  • Informatique
  • Machine learning
  • Neural networks (Computer science)
Label
Artificial neural networks and machine learning-- ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I, Alessandro E. Villa [and others] (eds.)
Instantiates
Publication
Note
International conference proceedings
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure
  • Michal Matuszak and Jacek Miek̜isz
  • The Mix-Matrix Method in the Problem of Binary Quadratic Optimization
  • Iakov Karandashev and Boris Kryzhanovsky
  • A Rule Chaining Architecture Using a Correlation Matrix Memory
  • James Austin, Stephen Hobson, Nathan Burles and Simon O'Keefe
  • A Generative Multiset Kernel for Structured Data
  • Davide Bacciu, Alessio Micheli and Alessandro Sperduti
  • Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization
  • Rafal Zdunek
  • Temporal Patterns in Artificial Reaction Networks
  • Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons
  • Dan Wang, Donghong Ji and Wei Huang
  • Claire Gerrard, John McCall, George M. Coghill and Christopher Macleod
  • Properties of the Hopfield Model with Weighted Patterns
  • Iakov Karandashev, Boris Kryzhanovsky and Leonid Litinskii
  • Dynamics and Oscillations of GHNNs with Time-Varying Delay
  • Farouk Chérif
  • A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences
  • Boris Durán, Yulia Sandamirskaya and Gregor Schöner
  • A Large-Scale Spiking Neural Network Accelerator for FPGA Systems
  • Kit Cheung, Simon R. Schultz and Wayne Luk
  • Silicon Neurons That Compute
  • Swadesh Choudhary, Steven Sloan, Sam Fok, Alexander Neckar and Eric Trautmann, et al.
  • A Communication Infrastructure for Emulating Large-Scale Neural Networks Models
  • Andres Gaona Barrera and Manuel Moreno Arostegui
  • Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity
  • Nooraini Yusoff, André Grüning and Scott Notley
  • Tikhonov-Type Regularization for Restricted Boltzmann Machines
  • KyungHyun Cho, Alexander Ilin and Tapani Raiko
  • Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates
  • Richard Wood, Ian Bruce and Peter Mascher
  • Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core
  • Marcel Beuler, Aubin Tchaptchet, Werner Bonath, Svetlana Postnova and Hans Albert Braun
  • Impact of Frequency on the Energetic Efficiency of Action Potentials
  • Anand Singh, Pierre J. Magistretti, Bruno Weber and Renaud Jolivet
  • A Biophysical Network Model Displaying the Role of Basal Ganglia Pathways in Action Selection
  • Cem Yucelgen, Berat Denizdurduran, Selin Metin, Rahmi Elibol and Neslihan Serap Sengor
  • How Degrading Networks Can Increase Cognitive Functions
  • Adam Tomkins, Mark Humphries, Christian Beste, Eleni Vasilaki and Kevin Gurney
  • Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities
  • Eleni Vasilaki and Michele Giugliano
  • Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity
  • Andres Perez-Uribe and Héctor F. Satizábal
  • Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis
  • Everton J. Agnes, Rubem Erichsen Jr. and Leonardo G. Brunnet
  • Bifurcating Neurons with Filtered Base Signals
  • Shota Kirikawa, Takashi Ogawa and Toshimichi Saito
  • Basic Analysis of Digital Spike Maps
  • Narutoshi Horimoto, Takashi Ogawa and Toshimichi Saito
  • Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL
  • Jörn Hoffmann, Frank Güttler, Karim El-Laithy and Martin Bogdan
  • Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation
  • Jorge Dávila-Chacón, Stefan Heinrich, Jindong Liu and Stefan Wermter
  • A Biologically Realizable Bayesian Computation in a Cortical Neural Network
  • Daiki Futagi and Katsunori Kitano
  • Evaluating the Effect of Spiking Network Parameters on Polychronization
  • Panagiotis Ioannou, Matthew Casey and André Grüning
  • Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks
  • Ioana Sporea and André Grüning
  • Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform
  • Yoshiyuki Asai and Alessandro E.P. Villa
  • Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball
  • Dimitri Probst, Wolfgang Maass, Henry Markram and Marc-Oliver Gewaltig
  • Timing Self-generated Actions for Sensory Streaming
  • Angel A. Caputi
  • The Capacity and the Versatility of the Pulse Coupled Neural Network in the Image Matching
  • Yuta Ishida, Masato Yonekawa and Hiroaki Kurokawa
  • A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron
  • Takashi Matsubara and Hiroyuki Torikai
  • Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors
  • Georg R. Müller and Jörg Conradt
  • Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions
  • Beata J. Grzyb, Vicente Castelló, Marco Antonelli and Angel P. del Pobil
  • A Proposed Neural Control for the Trajectory Tracking of a Nonholonomic Mobile Robot with Disturbances
  • Nardênio A. Martins, Maycol de Alencar, Warody C. Lombardi, Douglas W. Bertol and Edson R. De Pieri, et al.
  • Simulating Light Adaptation in the Retina with Rod-Cone Coupling
  • Kendi Muchungi and Matthew Casey
  • Differential Entropy of Multivariate Neural Spike Trains
  • Nanyi Cui, Jiaying Tang and Simon R. Schultz
  • Learning Representations for Animated Motion Sequence and Implied Motion Recognition
  • Georg Layher, Martin A. Giese and Heiko Neumann
  • Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning
  • Denis Sheynikhovich, Félix Grèzes, Jean-Rémi King and Angelo Arleo
  • Control of Biped Robot Joints' Angles Using Coordinated Matsuoka Oscillators
  • Asiya M. Al-Busaidi, Riadh Zaier and Amer S. Al-Yahmadi
  • Some Things Psychopathologies Can Tell Us about Consciousness
  • Roseli S. Wedemann and Luís Alfredo V. de Carvalho
  • Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution
  • Yasuomi D. Sato and Yasutaka Kuriya
  • Contour Detection by CORF Operator
  • George Azzopardi and Nicolai Petkov
  • Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection
  • Nils Meins, Stefan Wermter and Cornelius Weber
  • Face Recognition with Disparity Corrected Gabor Phase Differences
  • Manuel Günther, Dennis Haufe and Rolf P. Würtz
  • Evolving Neural Networks for Orientation Behavior of Sand Scorpions towards Prey
  • Hyungu Yim and DaeEun Kim
  • Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition
  • Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey and Volker Steuber
  • Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli
  • Isabella Silks
  • An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks
  • Vladyslav Shaposhnyk and Alessandro E.P. Villa
  • Adaptive Neural Oscillator with Synaptic Plasticity Enabling Fast Resonance Tuning
  • Timo Nachstedt, Florentin Wörgötter and Poramate Manoonpong
  • Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity
  • Jenia Jitsev, Nobi Abraham, Abigail Morrison and Marc Tittgemeyer
  • Understanding the Role of Serotonin in Basal Ganglia through a Unified Model
  • Balasubramani Pragathi Priyadharsini, Balaraman Ravindran and V. Srinivasa Chakravarthy
  • Learning How to Select an Action: A Computational Model
  • Berat Denizdurduran and Neslihan Serap Sengor
  • A Dynamic Binding Mechanism for Retrieving and Unifying Complex Predicate-Logic Knowledge
  • Gadi Pinkas, Priscila Lima and Shimon Cohen
  • Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree
  • Masayasu Atsumi
  • Biological Brain and Binary Code: Quality of Coding for Face Recognition
  • João da Silva Gomes and Roman Borisyuk
  • Making a Reinforcement Learning Agent Believe
  • Klaus Häming and Gabriele Peters
  • Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks
  • Jaldert O. Rombouts, Arjen van Ooyen, Pieter R. Roelfsema and Sander M. Bohte
  • Bayesian Inference with Efficient Neural Population Codes
  • Xue-Xin Wei and Alan A. Stocker
  • Learning Sequence Neighbourhood Metrics
  • Justin Bayer, Christian Osendorfer and Patrick van der Smagt
  • Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model
  • Junpei Zhong, Cornelius Weber and Stefan Wermter
  • Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir
  • Simon Brodeur and Jean Rouat
  • Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network
  • Stefan Heinrich, Cornelius Weber and Stefan Wermter
  • Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders
  • The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data
  • Gen Niina and Hiroshi Dozono
  • Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen and Takashi Washio
  • Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks
  • Danil Koryakin and Martin V. Butz
  • Learning to Imitate YMCA with an ESN
  • Rikke Amilde Løvlid
  • A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction
  • Atsushi Hara and Yoichi Hayashi
  • Constructing Robust Liquid State Machines to Process Highly Variable Data Streams
  • Stefan Schliebs, Maurizio Fiasché and Nikola Kasabov
  • Infinite Sparse Threshold Unit Networks
  • Michiel Hermans and Benjamin Schrauwen
  • Learning Two-Layer Contractive Encodings
  • Hannes Schulz and Sven Behnke
  • Effects of Architecture Choices on Sparse Coding in Speech Recognition
  • Fionntán O'Donnell, Fabian Triefenbach, Jean-Pierre Martens and Benjamin Schrauwen
  • Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives
  • Christian Vollmer, Julian P. Eggert and Horst-Michael Groß
  • Echo State Networks for Multi-dimensional Data Clustering
  • Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model
  • Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire and Jill Stewart
  • Petia Koprinkova-Hristova and Nikolay Tontchev
  • The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory
  • Michael Berger, Christian Faubel, Joseph Norman, Howard Hock and Gregor Schöner
  • Self-organized Reservoirs and Their Hierarchies
  • Mantas Lukoševičius
  • On-Line Processing of Grammatical Structure Using Reservoir Computing
  • Xavier Hinaut and Peter F. Dominey
  • PSO for Reservoir Computing Optimization
  • Anderson Tenório Sergio and Teresa B. Ludermir
  • One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction
  • George G. Cabral and Adriano L.I. Oliveira
  • Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems
  • Laura E.A. Santana and Anne M.P. Canuto
  • Dual Support Vector Domain Description for Imbalanced Classification
  • Felipe Ramírez and Héctor Allende
  • Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling
  • Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan and Rafael Bello, et al.
  • Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain
  • A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations
  • Yuuji Ichisugi
  • Maurizio Fiasché, Stefan Schliebs and Lino Nobili
  • Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller
  • Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten and Benjamin Schrauwen
  • Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI)
  • Martin Spüler, Wolfgang Rosenstiel and Martin Bogdan
  • Recognizing Human Activities Using a Layered Markov Architecture
  • Michael Glodek, Georg Layher, Friedhelm Schwenker and Günther Palm
Control code
811620802
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783642332692
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-33269-2
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)811620802
Label
Artificial neural networks and machine learning-- ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I, Alessandro E. Villa [and others] (eds.)
Publication
Note
International conference proceedings
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure
  • Michal Matuszak and Jacek Miek̜isz
  • The Mix-Matrix Method in the Problem of Binary Quadratic Optimization
  • Iakov Karandashev and Boris Kryzhanovsky
  • A Rule Chaining Architecture Using a Correlation Matrix Memory
  • James Austin, Stephen Hobson, Nathan Burles and Simon O'Keefe
  • A Generative Multiset Kernel for Structured Data
  • Davide Bacciu, Alessio Micheli and Alessandro Sperduti
  • Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization
  • Rafal Zdunek
  • Temporal Patterns in Artificial Reaction Networks
  • Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons
  • Dan Wang, Donghong Ji and Wei Huang
  • Claire Gerrard, John McCall, George M. Coghill and Christopher Macleod
  • Properties of the Hopfield Model with Weighted Patterns
  • Iakov Karandashev, Boris Kryzhanovsky and Leonid Litinskii
  • Dynamics and Oscillations of GHNNs with Time-Varying Delay
  • Farouk Chérif
  • A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences
  • Boris Durán, Yulia Sandamirskaya and Gregor Schöner
  • A Large-Scale Spiking Neural Network Accelerator for FPGA Systems
  • Kit Cheung, Simon R. Schultz and Wayne Luk
  • Silicon Neurons That Compute
  • Swadesh Choudhary, Steven Sloan, Sam Fok, Alexander Neckar and Eric Trautmann, et al.
  • A Communication Infrastructure for Emulating Large-Scale Neural Networks Models
  • Andres Gaona Barrera and Manuel Moreno Arostegui
  • Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity
  • Nooraini Yusoff, André Grüning and Scott Notley
  • Tikhonov-Type Regularization for Restricted Boltzmann Machines
  • KyungHyun Cho, Alexander Ilin and Tapani Raiko
  • Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates
  • Richard Wood, Ian Bruce and Peter Mascher
  • Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core
  • Marcel Beuler, Aubin Tchaptchet, Werner Bonath, Svetlana Postnova and Hans Albert Braun
  • Impact of Frequency on the Energetic Efficiency of Action Potentials
  • Anand Singh, Pierre J. Magistretti, Bruno Weber and Renaud Jolivet
  • A Biophysical Network Model Displaying the Role of Basal Ganglia Pathways in Action Selection
  • Cem Yucelgen, Berat Denizdurduran, Selin Metin, Rahmi Elibol and Neslihan Serap Sengor
  • How Degrading Networks Can Increase Cognitive Functions
  • Adam Tomkins, Mark Humphries, Christian Beste, Eleni Vasilaki and Kevin Gurney
  • Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities
  • Eleni Vasilaki and Michele Giugliano
  • Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity
  • Andres Perez-Uribe and Héctor F. Satizábal
  • Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis
  • Everton J. Agnes, Rubem Erichsen Jr. and Leonardo G. Brunnet
  • Bifurcating Neurons with Filtered Base Signals
  • Shota Kirikawa, Takashi Ogawa and Toshimichi Saito
  • Basic Analysis of Digital Spike Maps
  • Narutoshi Horimoto, Takashi Ogawa and Toshimichi Saito
  • Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL
  • Jörn Hoffmann, Frank Güttler, Karim El-Laithy and Martin Bogdan
  • Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation
  • Jorge Dávila-Chacón, Stefan Heinrich, Jindong Liu and Stefan Wermter
  • A Biologically Realizable Bayesian Computation in a Cortical Neural Network
  • Daiki Futagi and Katsunori Kitano
  • Evaluating the Effect of Spiking Network Parameters on Polychronization
  • Panagiotis Ioannou, Matthew Casey and André Grüning
  • Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks
  • Ioana Sporea and André Grüning
  • Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform
  • Yoshiyuki Asai and Alessandro E.P. Villa
  • Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball
  • Dimitri Probst, Wolfgang Maass, Henry Markram and Marc-Oliver Gewaltig
  • Timing Self-generated Actions for Sensory Streaming
  • Angel A. Caputi
  • The Capacity and the Versatility of the Pulse Coupled Neural Network in the Image Matching
  • Yuta Ishida, Masato Yonekawa and Hiroaki Kurokawa
  • A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron
  • Takashi Matsubara and Hiroyuki Torikai
  • Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors
  • Georg R. Müller and Jörg Conradt
  • Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions
  • Beata J. Grzyb, Vicente Castelló, Marco Antonelli and Angel P. del Pobil
  • A Proposed Neural Control for the Trajectory Tracking of a Nonholonomic Mobile Robot with Disturbances
  • Nardênio A. Martins, Maycol de Alencar, Warody C. Lombardi, Douglas W. Bertol and Edson R. De Pieri, et al.
  • Simulating Light Adaptation in the Retina with Rod-Cone Coupling
  • Kendi Muchungi and Matthew Casey
  • Differential Entropy of Multivariate Neural Spike Trains
  • Nanyi Cui, Jiaying Tang and Simon R. Schultz
  • Learning Representations for Animated Motion Sequence and Implied Motion Recognition
  • Georg Layher, Martin A. Giese and Heiko Neumann
  • Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning
  • Denis Sheynikhovich, Félix Grèzes, Jean-Rémi King and Angelo Arleo
  • Control of Biped Robot Joints' Angles Using Coordinated Matsuoka Oscillators
  • Asiya M. Al-Busaidi, Riadh Zaier and Amer S. Al-Yahmadi
  • Some Things Psychopathologies Can Tell Us about Consciousness
  • Roseli S. Wedemann and Luís Alfredo V. de Carvalho
  • Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution
  • Yasuomi D. Sato and Yasutaka Kuriya
  • Contour Detection by CORF Operator
  • George Azzopardi and Nicolai Petkov
  • Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection
  • Nils Meins, Stefan Wermter and Cornelius Weber
  • Face Recognition with Disparity Corrected Gabor Phase Differences
  • Manuel Günther, Dennis Haufe and Rolf P. Würtz
  • Evolving Neural Networks for Orientation Behavior of Sand Scorpions towards Prey
  • Hyungu Yim and DaeEun Kim
  • Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition
  • Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey and Volker Steuber
  • Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli
  • Isabella Silks
  • An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks
  • Vladyslav Shaposhnyk and Alessandro E.P. Villa
  • Adaptive Neural Oscillator with Synaptic Plasticity Enabling Fast Resonance Tuning
  • Timo Nachstedt, Florentin Wörgötter and Poramate Manoonpong
  • Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity
  • Jenia Jitsev, Nobi Abraham, Abigail Morrison and Marc Tittgemeyer
  • Understanding the Role of Serotonin in Basal Ganglia through a Unified Model
  • Balasubramani Pragathi Priyadharsini, Balaraman Ravindran and V. Srinivasa Chakravarthy
  • Learning How to Select an Action: A Computational Model
  • Berat Denizdurduran and Neslihan Serap Sengor
  • A Dynamic Binding Mechanism for Retrieving and Unifying Complex Predicate-Logic Knowledge
  • Gadi Pinkas, Priscila Lima and Shimon Cohen
  • Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree
  • Masayasu Atsumi
  • Biological Brain and Binary Code: Quality of Coding for Face Recognition
  • João da Silva Gomes and Roman Borisyuk
  • Making a Reinforcement Learning Agent Believe
  • Klaus Häming and Gabriele Peters
  • Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks
  • Jaldert O. Rombouts, Arjen van Ooyen, Pieter R. Roelfsema and Sander M. Bohte
  • Bayesian Inference with Efficient Neural Population Codes
  • Xue-Xin Wei and Alan A. Stocker
  • Learning Sequence Neighbourhood Metrics
  • Justin Bayer, Christian Osendorfer and Patrick van der Smagt
  • Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model
  • Junpei Zhong, Cornelius Weber and Stefan Wermter
  • Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir
  • Simon Brodeur and Jean Rouat
  • Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network
  • Stefan Heinrich, Cornelius Weber and Stefan Wermter
  • Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders
  • The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data
  • Gen Niina and Hiroshi Dozono
  • Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen and Takashi Washio
  • Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks
  • Danil Koryakin and Martin V. Butz
  • Learning to Imitate YMCA with an ESN
  • Rikke Amilde Løvlid
  • A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction
  • Atsushi Hara and Yoichi Hayashi
  • Constructing Robust Liquid State Machines to Process Highly Variable Data Streams
  • Stefan Schliebs, Maurizio Fiasché and Nikola Kasabov
  • Infinite Sparse Threshold Unit Networks
  • Michiel Hermans and Benjamin Schrauwen
  • Learning Two-Layer Contractive Encodings
  • Hannes Schulz and Sven Behnke
  • Effects of Architecture Choices on Sparse Coding in Speech Recognition
  • Fionntán O'Donnell, Fabian Triefenbach, Jean-Pierre Martens and Benjamin Schrauwen
  • Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives
  • Christian Vollmer, Julian P. Eggert and Horst-Michael Groß
  • Echo State Networks for Multi-dimensional Data Clustering
  • Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model
  • Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire and Jill Stewart
  • Petia Koprinkova-Hristova and Nikolay Tontchev
  • The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory
  • Michael Berger, Christian Faubel, Joseph Norman, Howard Hock and Gregor Schöner
  • Self-organized Reservoirs and Their Hierarchies
  • Mantas Lukoševičius
  • On-Line Processing of Grammatical Structure Using Reservoir Computing
  • Xavier Hinaut and Peter F. Dominey
  • PSO for Reservoir Computing Optimization
  • Anderson Tenório Sergio and Teresa B. Ludermir
  • One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction
  • George G. Cabral and Adriano L.I. Oliveira
  • Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems
  • Laura E.A. Santana and Anne M.P. Canuto
  • Dual Support Vector Domain Description for Imbalanced Classification
  • Felipe Ramírez and Héctor Allende
  • Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling
  • Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan and Rafael Bello, et al.
  • Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain
  • A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations
  • Yuuji Ichisugi
  • Maurizio Fiasché, Stefan Schliebs and Lino Nobili
  • Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller
  • Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten and Benjamin Schrauwen
  • Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI)
  • Martin Spüler, Wolfgang Rosenstiel and Martin Bogdan
  • Recognizing Human Activities Using a Layered Markov Architecture
  • Michael Glodek, Georg Layher, Friedhelm Schwenker and Günther Palm
Control code
811620802
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783642332692
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-33269-2
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)811620802

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
Processing Feedback ...