1364 search results - page 55 / 273 » Sampling Methods for Unsupervised Learning |
139
click to vote
NN
2010
Springer
14 years 9 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
108
Voted
AAAI
2006
15 years 3 months ago
2006
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
134
click to vote
JMLR
2010
14 years 9 months ago
2010
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
134
click to vote
ACL
2008
15 years 3 months ago
2008
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
123
Voted
ISWC
2003
IEEE
15 years 7 months ago
2003
IEEE
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...