331 search results - page 6 / 67 » Vicinal Risk Minimization |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
CSE
2009
IEEE
14 years 2 months ago
2009
IEEE
Fast fusion of multiple registered out-of-focus images is of great interest in medical imaging; for example, the thoracic cavity is always too bumpy to be focused on all parts at ...
TIT
1998
13 years 7 months ago
1998
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
JMLR
2006
13 years 7 months ago
2006
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
JMLR
2006
13 years 7 months ago
2006
We study some stability properties of algorithms which minimize (or almost-minimize) empirical error over Donsker classes of functions. We show that, as the number n of samples gr...