38 search results - page 5 / 8 » Parametric Learning and Monte Carlo Optimization |
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper we consider sampling based fitted value iteration for discounted, large (possibly infinite) state space, finite action Markovian Decision Problems where only a gener...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...