3837 search results - page 390 / 768 » Learning Approximate Consistencies |
229
click to vote
NIPS
2008
15 years 8 months ago
2008
The Singular Value Decomposition is a key operation in many machine learning methods. Its computational cost, however, makes it unscalable and impractical for applications involvi...
164
click to vote
NIPS
2001
15 years 8 months ago
2001
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
176
click to vote
NIPS
2003
15 years 8 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
175
click to vote
ESANN
2000
15 years 8 months ago
2000
A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
186
click to vote
NIPS
1996
15 years 8 months ago
1996
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...