8970 search results - page 297 / 1794 » Learning to Learn Causal Models |
144
click to vote
COLT
2000
Springer
15 years 11 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...
160
click to vote
KDD
1997
ACM
15 years 11 months ago
1997
ACM
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
187
click to vote
EMNLP
2008
15 years 8 months ago
2008
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
183
click to vote
IJCAI
2007
15 years 8 months ago
2007
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
143
click to vote
NAACL
2007
15 years 8 months ago
2007
We present a revision learning model for improving the accuracy of a dependency parser. The revision stage corrects the output of the base parser by means of revision rules learne...