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91
Voted
NIPS
2000
15 years 1 months ago
2000
We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
NIPS
2000
15 years 1 months ago
2000
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We give simple examples of both kinds of behaviour...
89
Voted
NIPS
1994
15 years 1 months ago
1994
The spatial distribution and time course of electrical signals in neurons have important theoretical and practical consequences. Because it is difficult to infer how neuronal form...
112
Voted
NIPS
1994
15 years 1 months ago
1994
Understanding knowledge representations in neural nets has been a difficult problem. Principal components analysis (PCA) of contributions (products of sending activations and conn...
83
Voted
NIPS
1996
15 years 1 months ago
1996
This paper compares three penalty terms with respect to the efficiency of supervised learning, by using first- and second-order learning algorithms. Our experiments showed that fo...