966 search results - page 21 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
ICML
2005
IEEE
16 years 17 days ago
2005
IEEE
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
114
click to vote
WILF
2007
Springer
15 years 5 months ago
2007
Springer
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
131
Voted
ABIALS
2008
Springer
15 years 1 months ago
2008
Springer
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
123
click to vote
CORR
2012
Springer
13 years 7 months ago
2012
Springer
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...