1351 search results - page 50 / 271 » Learning from compressed observations |
MSS
2010
IEEE
14 years 8 months ago
2010
IEEE
In this paper, we consider a decision-maker who tries to learn the distribution of outcomes from previously observed cases. For each observed database of cases the decision-maker ...
ALT
2000
Springer
15 years 6 months ago
2000
Springer
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describ...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
Standard practices in background modeling learn a separate model for every pixel in the image. However, in dynamic scenes the connection between an observation and the place where...
COLT
2000
Springer
15 years 2 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
SIGKDD
2010
14 years 4 months ago
2010
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...