1854 search results - page 37 / 371 » On Kernel Methods for Relational Learning |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
DAGM
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
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ML
2012
ACM
13 years 5 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...