1477 search results - page 48 / 296 » Random Convex Programs |
LPNMR
2009
Springer
14 years 3 months ago
2009
Springer
We consider random logic programs with two-literal rules and study their properties. In particular, we obtain results on the probability that random “sparse” and “dense” pr...
MP
2002
13 years 8 months ago
2002
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
JGO
2010
13 years 7 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
JMLR
2008
13 years 8 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
ISSTA
2006
ACM
14 years 2 months ago
2006
ACM
Testing with random inputs can give surprisingly good results if the distribution of inputs is spread out evenly over the input domain; this is the intuition behind Adaptive Rando...