654 search results - page 9 / 131 » TRUST-TECH based Methods for Optimization and Learning |
129
Voted
SCIA
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
111
Voted
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
95
Voted
JMLR
2010
14 years 7 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
108
Voted
NIPS
2004
15 years 2 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
100
click to vote
ICDM
2009
IEEE
15 years 7 months ago
2009
IEEE
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...