298 search results - page 3 / 60 » Approximate Inference and Constrained Optimization |
JMLR
2012
11 years 7 months ago
2012
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
MP
1998
13 years 4 months ago
1998
Various algorithms can compute approximate feasible points or approximate solutions to equality and bound constrained optimization problems. In exhaustive search algorithms for gl...
AUTOMATICA
2004
13 years 4 months ago
2004
An algorithm for the construction of an explicit piecewise linear state feedback approximation to nonlinear constrained receding horizon control is given. It allows such controlle...
AMAI
2006
Springer
13 years 4 months ago
2006
Springer
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
SIAMJO
2010
12 years 11 months ago
2010
Necessary first-order sequential optimality conditions provide adequate theoretical tools to justify stopping criteria for nonlinear programming solvers. These conditions are sati...