2108 search results - page 361 / 422 » Tracking in Reinforcement Learning |
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
ITICSE
2003
ACM
15 years 3 months ago
2003
ACM
The authors present observations from using two modes of teaching undergraduate computer architecture. Two sections were taught differently: one section was taught using a traditi...
100
click to vote
ESSMAC
2003
Springer
15 years 3 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
AMDO
2004
Springer
15 years 1 months ago
2004
Springer
Abstract. A new algorithm for the incremental learning and non-intrusive tracking of the appearance of a previously non-seen face is presented. The computation is done in a causal ...
FLAIRS
2003
14 years 11 months ago
2003
This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions ...