180 search results - page 12 / 36 » Introduction to Statistical Learning Theory |
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 8 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 1 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...
JMLR
2002
13 years 7 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...