176 search results - page 11 / 36 » Statistical Learning Theory: A Primer |
JMLR
2010
13 years 2 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
ISTCS
1997
Springer
13 years 11 months ago
1997
Springer
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
NIPS
2001
13 years 9 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
ICYCS
2008
IEEE
14 years 2 months ago
2008
IEEE
With the rapid development of computer science, its education mode also changes a lot. Teaching and learning are not restricted by the physical distance with the help of the netwo...