559 search results - page 87 / 112 » Neural methods for non-standard data |
101
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
103
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ICANN
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
145
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IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
Any performance evaluation of broadband networks requires modeling of the actual network traffic. Since multimedia services and especially MPEG coded video streams are expected to...
123
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NIPS
2008
15 years 3 months ago
2008
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
150
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ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...