255 search results - page 7 / 51 » On Online Learning of Decision Lists |
INTERSPEECH
2010
14 years 6 months ago
2010
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
JSAC
2010
14 years 10 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
CAMP
2005
IEEE
15 years 5 months ago
2005
IEEE
—This paper describes a task-independent controller that allows for an easy implementation of vision systems for processing video sequences. The controller does not have a fixed ...
ICMLA
2008
15 years 1 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
ATAL
2009
Springer
15 years 6 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...