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CORR
2006
Springer
130views Education» more  CORR 2006»
14 years 10 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
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...
Christian Gagné, Marc Schoenauer, Mich&egra...
AUTOMATICA
2008
76views more  AUTOMATICA 2008»
14 years 10 months ago
Structured semidefinite programs for the control of symmetric systems
In this paper we show how the symmetry present in many linear systems can be exploited to significantly reduce the computational effort required for controller synthesis. This app...
Randy Cogill, Sanjay Lall, Pablo A. Parrilo
SUM
2007
Springer
15 years 4 months ago
Finding Most Probable Worlds of Probabilistic Logic Programs
Abstract. Probabilistic logic programs have primarily studied the problem of entailment of probabilistic atoms. However, there are some interesting applications where we are intere...
Samir Khuller, Maria Vanina Martinez, Dana S. Nau,...
AAAI
2010
14 years 11 months ago
Trial-Based Dynamic Programming for Multi-Agent Planning
Trial-based approaches offer an efficient way to solve singleagent MDPs and POMDPs. These approaches allow agents to focus their computations on regions of the environment they en...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
IPPS
2007
IEEE
15 years 4 months ago
A Markov Reward Model for Software Reliability
A compositional method for estimating software reliability of many threaded programs is developed. The method uses estimates of the reliability of individual modules and the proba...
YoungMin Kwon, Gul Agha