509 search results - page 29 / 102 » Using Learning for Approximation in Stochastic Processes |
105
click to vote
EACL
2006
ACL Anthology
15 years 3 months ago
2006
ACL Anthology
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
110
Voted
ICIP
2010
IEEE
15 years 9 days ago
2010
IEEE
Optical lithography is a critical step in the semiconductor manufacturing process, and one key problem is the design of the photomask for a particular circuit pattern, given the o...
116
Voted
HYBRID
2004
Springer
15 years 7 months ago
2004
Springer
We propose a model for Stochastic Hybrid Systems (SHSs) where transitions between discrete modes are triggered by stochastic events much like transitions between states of a contin...
122
click to vote
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
136
click to vote
JMLR
2006
15 years 2 months ago
2006
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...