267 search results - page 29 / 54 » Convex optimization for the design of learning machines |
CORR
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
MLG
2007
Springer
14 years 3 months ago
2007
Springer
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
JMLR
2008
13 years 9 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...