908 search results - page 149 / 182 » Stochastic Finite Learning |
BMCBI
2008
13 years 9 months ago
2008
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
PAMI
2002
13 years 8 months ago
2002
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
ATAL
2010
Springer
13 years 10 months ago
2010
Springer
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
ESANN
2006
13 years 10 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...