878 search results - page 37 / 176 » Learning to Control in Operational Space |
124
Voted
PKDD
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
143
Voted
NIPS
1994
15 years 5 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
121
Voted
PERCOM
2009
ACM
16 years 4 months ago
2009
ACM
In this paper we describe a context-sensitive way to change an active mobile phone profile. We present a method to create a proactive and adaptive phone profile control system that...
122
Voted
EMNLP
2009
15 years 1 months ago
2009
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
111
Voted
ADMA
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...