266 search results - page 34 / 54 » A Demonstration of Neural Programming Applied to Non-Markovi... |
JMLR
2012
11 years 11 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
CPAIOR
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
SAS
2010
Springer
13 years 7 months ago
2010
Springer
Proving termination of sequential programs is an important problem, both for establishing the total correctness of systems and as a component of proving more general termination an...
MICRO
2002
IEEE
14 years 1 months ago
2002
IEEE
Recently, graphics hardware architectures have begun to emphasize versatility, offering rich new ways to programmatically reconfigure the graphics pipeline. In this paper, we exp...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...