Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011
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Published By Springer Berlin Heidelberg

9783642217340, 9783642217357

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Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_46 ◽

2011 ◽

pp. 371-378 ◽

Cited By ~ 3

Author(s):

Hiroshi Okamoto

Keyword(s):

Network Analysis ◽

Memory Retrieval ◽

Citation Network ◽

Document Ranking ◽

Citation Network Analysis ◽

The Brain

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Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_13 ◽

2011 ◽

pp. 101-108 ◽

Cited By ~ 1

Author(s):

Matthew Cook ◽

Florian Jug ◽

Christoph Krautz

Keyword(s):

Learning Mechanism

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Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_8 ◽

2011 ◽

pp. 60-68 ◽

Cited By ~ 8

Author(s):

Sander M. Bohte

Keyword(s):

Spiking Neurons

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An Empirical Study on the Performance of Spectral Manifold Learning Techniques

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_43 ◽

2011 ◽

pp. 347-354 ◽

Cited By ~ 2

Author(s):

Peter Mysling ◽

Søren Hauberg ◽

Kim Steenstrup Pedersen

Keyword(s):

Empirical Study ◽

Manifold Learning ◽

Learning Techniques

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Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_32 ◽

2011 ◽

pp. 258-265

Author(s):

Yoshiyuki Asai ◽

Alessandro E. P. Villa

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Temporal Information

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Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_5 ◽

2011 ◽

pp. 36-43 ◽

Cited By ~ 6

Author(s):

Sven Dähne ◽

Johannes Höhne ◽

Martijn Schreuder ◽

Michael Tangermann

Keyword(s):

Event Related Potentials ◽

Feature Analysis ◽

Brain Computer Interfaces ◽

Computer Interfaces ◽

Slow Feature Analysis ◽

Related Potentials

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PADDLE: Proximal Algorithm for Dual Dictionaries LEarning

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_47 ◽

2011 ◽

pp. 379-386 ◽

Cited By ~ 9

Author(s):

Curzio Basso ◽

Matteo Santoro ◽

Alessandro Verri ◽

Silvia Villa

Keyword(s):

Proximal Algorithm

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Extracting Coactivated Features from Multiple Data Sets

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_40 ◽

2011 ◽

pp. 323-330 ◽

Cited By ~ 4

Author(s):

Michael U. Gutmann ◽

Aapo Hyvärinen

Keyword(s):

Data Sets ◽

Multiple Data ◽

Multiple Data Sets

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Kullback-Leibler Divergence for Nonnegative Matrix Factorization

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_31 ◽

2011 ◽

pp. 250-257 ◽

Cited By ~ 10

Author(s):

Zhirong Yang ◽

He Zhang ◽

Zhijian Yuan ◽

Erkki Oja

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Leibler Divergence

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Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011 ◽

10.1007/978-3-642-21735-7_2 ◽

2011 ◽

pp. 10-17 ◽

Cited By ~ 57

Author(s):

KyungHyun Cho ◽

Alexander Ilin ◽

Tapani Raiko

Keyword(s):

Restricted Boltzmann Machines ◽

Boltzmann Machines ◽

Improved Learning

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Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain

Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism

Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons

An Empirical Study on the Performance of Spectral Manifold Learning Techniques

Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks

Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces

PADDLE: Proximal Algorithm for Dual Dictionaries LEarning

Extracting Coactivated Features from Multiple Data Sets

Kullback-Leibler Divergence for Nonnegative Matrix Factorization

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2011
Latest Publications