654 search results - page 9 / 131 » TRUST-TECH based Methods for Optimization and Learning |
190
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SCIA
2009
Springer
16 years 12 days 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 ...
160
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PKDD
2009
Springer
16 years 12 days 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, ...
143
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JMLR
2010
15 years 20 days 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...
159
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NIPS
2004
15 years 7 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...
167
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ICDM
2009
IEEE
16 years 16 days 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...