1062 search results - page 86 / 213 » Sublinear Optimization for Machine Learning |
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
FGR
2008
IEEE
14 years 4 months ago
2008
IEEE
Automatic facial feature localization has been a longstanding challenge in the field of computer vision for several decades. This can be explained by the large variation a face i...
ECTEL
2007
Springer
14 years 4 months ago
2007
Springer
While the growing number of learning resources increases the choice for learners, it also makes it more and more difficult to find suitable courses. Thus, improved search capabili...
BMCBI
2010
13 years 10 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...