301 search results - page 27 / 61 » On the Optimality of Probability Estimation by Random Decisi... |
107
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IPCO
2010
15 years 1 months ago
2010
Abstract. We consider two-person zero-sum stochastic mean payoff games with perfect information, or BWR-games, given by a digraph G = (V = VB VW VR, E), with local rewards r : E R...
102
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IBPRIA
2007
Springer
15 years 4 months ago
2007
Springer
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
123
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CIMCA
2008
IEEE
15 years 7 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
116
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
110
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CORR
2010
Springer
14 years 11 months ago
2010
Springer
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...