272 search results - page 48 / 55 » Parallel Reinforcement Learning with Linear Function Approxi... |
NIPS
1998
13 years 10 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
PPSN
2000
Springer
14 years 11 days ago
2000
Springer
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
ICMCS
2006
IEEE
14 years 2 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...