1419 search results - page 182 / 284 » Approximation Methods for Supervised Learning |
BMCBI
2007
13 years 10 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
NIPS
2008
13 years 11 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
PAMI
2002
13 years 9 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...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...