530 search results - page 12 / 106 » Bounds on marginal probability distributions |
138
Voted
COLT
1999
Springer
15 years 6 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
163
Voted
QEST
2010
IEEE
14 years 11 months ago
2010
IEEE
We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
IJCAI
1997
15 years 3 months ago
1997
Motivated by the need to reason about utilities, and inspired by the success of bayesian networks in representing and reasoning about probabilities, we introduce the notion of uti...
107
Voted
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
ICC
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract— Handoff probability is one of the significant metrics to characterize the handoff operation in wireless mobile networks. Handoff probability refers to the probability ...