72 search results - page 10 / 15 » Learning Heuristic Functions through Approximate Linear Prog... |
VLSI
2010
Springer
13 years 6 months ago
2010
Springer
—Multi-Vdd techniques enable application of lower supply voltage levels on cells with timing slacks. New voltage assignment, placement and voltage island partitioning methods are...
JMLR
2008
13 years 7 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
SIAMIS
2010
13 years 2 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
KSEM
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
NIPS
2008
13 years 9 months ago
2008
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...