181 search results - page 28 / 37 » Modeling the Dynamics of UML State Machines |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
ICML
2000
IEEE
15 years 1 months ago
2000
IEEE
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
VRML
2000
ACM
15 years 1 months ago
2000
ACM
Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
90
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
90
Voted
IFIP
1994
Springer
15 years 1 months ago
1994
Springer
The computer simulation control problem can be splitted in two parts, namely a local control problem and a global control problem. The local control de nes the \behavior" of ...