176 search results - page 6 / 36 » Statistical Learning Theory: A Primer |
JAIR
2006
13 years 7 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
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 28 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...