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Neural computation

Showing results (1121-1130 of 2,986) with videos related to

Pageof 299
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Neural Computation|December 8, 2000
A Bayesian committee machineV Tresp
Neural Computation|November 14, 2001
Intrinsic stabilization of output rates by spike-based Hebbian learningR Kempter, W Gerstner, J L van Hemmen
Neural Computation|November 14, 2001
Neurons with two sites of synaptic integration learn invariant representationsK P Körding, P König
Neural Computation|October 25, 2001
Resampling method for unsupervised estimation of cluster validityE Levine, E Domany
Neural Computation|March 20, 2001
Blind source separation by sparse decomposition in a signal dictionaryM Zibulevsky, B A Pearlmutter
Neural Computation|December 9, 2000
Cortical potential distributions and information processingH C Tuckwell
Neural Computation|December 9, 2000
Asymptotic bias in information estimates and the exponential (Bell) polynomialsJ D Victor
Neural Computation|December 9, 2000
Asymptotic convergence rate of the EM algorithm for gaussian mixturesMa, Xu, Jordan
Neural Computation|December 9, 2000
Incremental active learning for optimal generalizationM Sugiyama, H Ogawa
Neural Computation|March 13, 2001
The limits of counting accuracy in distributed neural representationsA R Gardner-Medwin, H B Barlow
Pageof 299

Showing results (1121-1130 of 2,986) with videos related to

Sort By:
Pageof 299
Neural Computation|December 8, 2000
A Bayesian committee machineV Tresp
Neural Computation|November 14, 2001
Intrinsic stabilization of output rates by spike-based Hebbian learningR Kempter, W Gerstner, J L van Hemmen
Neural Computation|November 14, 2001
Neurons with two sites of synaptic integration learn invariant representationsK P Körding, P König
Neural Computation|October 25, 2001
Resampling method for unsupervised estimation of cluster validityE Levine, E Domany
Neural Computation|March 20, 2001
Blind source separation by sparse decomposition in a signal dictionaryM Zibulevsky, B A Pearlmutter
Neural Computation|December 9, 2000
Cortical potential distributions and information processingH C Tuckwell
Neural Computation|December 9, 2000
Asymptotic bias in information estimates and the exponential (Bell) polynomialsJ D Victor
Neural Computation|December 9, 2000
Asymptotic convergence rate of the EM algorithm for gaussian mixturesMa, Xu, Jordan
Neural Computation|December 9, 2000
Incremental active learning for optimal generalizationM Sugiyama, H Ogawa
Neural Computation|March 13, 2001
The limits of counting accuracy in distributed neural representationsA R Gardner-Medwin, H B Barlow
Pageof 299