1658 search results - page 282 / 332 » Learning Mixtures of Gaussians |
97
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
118
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
78
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
107
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...