Sciweavers

JMLR
2008
188views more  JMLR 2008»
13 years 11 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
PR
2007
118views more  PR 2007»
13 years 11 months ago
A cooperative constructive method for neural networks for pattern recognition
In this paper, we propose a new constructive method, based on cooperative coevolution, for designing automatically the structure of a neural network for classification. Our appro...
Nicolás García-Pedrajas, Domingo Ort...
PR
2007
118views more  PR 2007»
13 years 11 months ago
Shape recognition using eigenvalues of the Dirichlet Laplacian
The eigenvalues of the Dirichlet Laplacian are used to generate three different sets of features for shape recognition and classification in binary images. The generated feature...
Mohamed A. Khabou, Lotfi Hermi, Mohamed Ben Hadj R...
NN
2007
Springer
112views Neural Networks» more  NN 2007»
13 years 11 months ago
An augmented CRTRL for complex-valued recurrent neural networks
Real world processes with an “intensity” and “direction” component can be made complex by convenience of representation (vector fields, radar, sonar), and their processin...
Su Lee Goh, Danilo P. Mandic
NN
2007
Springer
172views Neural Networks» more  NN 2007»
13 years 11 months ago
A computational neuroscience approach to consciousness
Simultaneous recordings from populations of neurons in the inferior temporal visual cortex show that most of the information about which stimulus was shown is available in the num...
Edmund T. Rolls
NN
2007
Springer
13 years 11 months ago
Resolving some confusions over attention and consciousness
John G. Taylor, Nickolaos F. Fragopanagos
NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 11 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
NN
2007
Springer
173views Neural Networks» more  NN 2007»
13 years 11 months ago
An enhanced self-organizing incremental neural network for online unsupervised learning
An enhanced self-organizing incremental neural network (ESOINN) is proposed to accomplish online unsupervised learning tasks. It improves the self-organizing incremental neural ne...
Shen Furao, Tomotaka Ogura, Osamu Hasegawa
NN
2007
Springer
107views Neural Networks» more  NN 2007»
13 years 11 months ago
Consciousness and metarepresentation: A computational sketch
Axel Cleeremans, Bert Timmermans, Antoine Pasquali