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JMLR
2010
61views more  JMLR 2010»
14 years 11 months ago
Model-based Boosting 2.0
This is an extended version of the manuscript Torsten Hothorn, Peter B
Torsten Hothorn, Peter Bühlmann, Thomas Kneib...
127
Voted
ICML
2000
IEEE
16 years 5 months ago
Combining Reinforcement Learning with a Local Control Algorithm
We explore combining reinforcement learning with a hand-crafted local controller in a manner suggested by the chaotic control algorithm of Vincent, Schmitt and Vincent (1994). A c...
Andrew G. Barto, Jette Randløv, Michael T. ...
ATAL
2009
Springer
15 years 11 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
ECML
2007
Springer
15 years 10 months ago
Probabilistic Explanation Based Learning
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
Angelika Kimmig, Luc De Raedt, Hannu Toivonen
SAT
2005
Springer
107views Hardware» more  SAT 2005»
15 years 10 months ago
Local and Global Complete Solution Learning Methods for QBF
Solvers for Quantified Boolean Formulae (QBF) use many analogues of technique from SAT. A significant amount of work has gone into extending conflict based techniques such as co...
Ian P. Gent, Andrew G. D. Rowley