180 search results - page 7 / 36 » Introduction to Statistical Learning Theory |
NIPS
2008
13 years 9 months ago
2008
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
COLT
2004
Springer
14 years 26 days ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
IJCV
2007
13 years 7 months ago
2007
In this paper, we study face hallucination, or synthesizing a high-resolution face image from an input low-resolution image, with the help of a large collection of other high-reso...
CVPR
1997
IEEE
13 years 11 months ago
1997
IEEE
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
PROCEDIA
2010
13 years 5 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...