176 search results - page 7 / 36 » Statistical Learning Theory: A Primer |
PROCEDIA
2010
13 years 6 months ago
2010
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
COGSCI
2002
13 years 7 months ago
2002
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evalua...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
GECCO
2010
Springer
14 years 10 days ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...