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Neural computation

Showing results (31-40 of 3,000) with videos related to

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Neural Computation|October 25, 2001
A variational method for learning sparse and overcomplete representationsM Girolami
Neural Computation|October 25, 2001
Random embedding machines for pattern recognitionY Baram
Neural Computation|October 25, 2001
The Whitney reduction network: a method for computing autoassociative graphsD S Broomhead, M J Kirby
Neural Computation|October 25, 2001
Enhanced 3D shape recovery using the neural-based hybrid reflectance modelS Y Cho, T W Chow
Neural Computation|November 14, 2001
Specification of training sets and the number of hidden neurons for multilayer perceptronsL S Camargo, T Yoneyama
Neural Computation|June 25, 2002
A Monte Carlo EM approach for partially observable diffusion processes: theory and applications to neural networksJavier R Movellan, Paul Mineiro, R J Williams
Neural Computation|May 22, 2002
Multiplicative synaptic normalization and a nonlinear Hebb rule underlie a neurotrophic model of competitive synaptic plasticityT Elliott, N R Shadbolt
Neural Computation|May 22, 2002
Energy-efficient coding with discrete stochastic eventsSusanne Schreiber, Christian K Machens, Andreas V M Herz, et al.
Neural Computation|May 22, 2002
Multiple model-based reinforcement learningKenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, et al.
Neural Computation|May 22, 2002
Learning curves for Gaussian process regression: approximations and boundsPeter Sollich, Anason Halees
Pageof 300

Showing results (31-40 of 3,000) with videos related to

Sort By:
Pageof 300
Neural Computation|October 25, 2001
A variational method for learning sparse and overcomplete representationsM Girolami
Neural Computation|October 25, 2001
Random embedding machines for pattern recognitionY Baram
Neural Computation|October 25, 2001
The Whitney reduction network: a method for computing autoassociative graphsD S Broomhead, M J Kirby
Neural Computation|October 25, 2001
Enhanced 3D shape recovery using the neural-based hybrid reflectance modelS Y Cho, T W Chow
Neural Computation|November 14, 2001
Specification of training sets and the number of hidden neurons for multilayer perceptronsL S Camargo, T Yoneyama
Neural Computation|June 25, 2002
A Monte Carlo EM approach for partially observable diffusion processes: theory and applications to neural networksJavier R Movellan, Paul Mineiro, R J Williams
Neural Computation|May 22, 2002
Multiplicative synaptic normalization and a nonlinear Hebb rule underlie a neurotrophic model of competitive synaptic plasticityT Elliott, N R Shadbolt
Neural Computation|May 22, 2002
Energy-efficient coding with discrete stochastic eventsSusanne Schreiber, Christian K Machens, Andreas V M Herz, et al.
Neural Computation|May 22, 2002
Multiple model-based reinforcement learningKenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, et al.
Neural Computation|May 22, 2002
Learning curves for Gaussian process regression: approximations and boundsPeter Sollich, Anason Halees
Pageof 300