1387 search results - page 164 / 278 » Convexity in Discrete Space |
AIIDE
2006
13 years 11 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
CORR
2006
Springer
13 years 10 months ago
2006
Springer
In [1], we presented the algebraic signal processing theory, an axiomatic and general framework for linear signal processing. The basic concept in this theory is the signal model d...
CGI
1998
IEEE
14 years 2 months ago
1998
IEEE
Ray tracing and Monte-Carlo based global illumination, as well as radiosity and other finite-element based global illumination methods, all require repeated evaluation of quantita...
JMLR
2006
13 years 10 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 ...
CVPR
2008
IEEE
15 years 3 days ago
2008
IEEE
Joint data alignment is often regarded as a data simplification process. This idea is powerful and general, but raises two delicate issues. First, one must make sure that the usef...