908 search results - page 73 / 182 » Stochastic Finite Learning |
113
Voted
AUTOMATICA
2002
15 years 3 months ago
2002
This paper addresses the initial shift problem in iterative learning control with system relative degree. The tracking error caused by nonzero initial shift is detected when apply...
119
Voted
KESAMSTA
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
123
Voted
ATAL
2006
Springer
15 years 7 months ago
2006
Springer
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
133
Voted
CG
2006
Springer
15 years 5 months ago
2006
Springer
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
146
Voted
ECIR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...