508 search results - page 49 / 102 » Learning for stochastic dynamic programming |
127
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Weighted logic programming, a generalization of bottom-up logic programming, is a successful framework for specifying dynamic programming algorithms. In this setting, pro...
119
Voted
EUROGP
1999
Springer
15 years 6 months ago
1999
Springer
Abstract We consider a form of phenotype plasticity in Genetic Programming (GP). This takes the form of a set of real-valued numerical parameters associated with each individual, a...
112
Voted
JCP
2007
15 years 2 months ago
2007
— It is difficult for a student to learn about programs and to understand the rational that went into the development of the parts that led to the whole. Tools for explaining thi...
123
Voted
UAI
2003
15 years 4 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
155
Voted
ICMCS
2008
IEEE
15 years 9 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...