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» Learning equivalent action choices from demonstration
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ICML
2009
IEEE
16 years 2 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
ACMSE
2007
ACM
15 years 5 months ago
BehaviorSim: towards an educational tool for behavior-based agent
A major paradigm of modeling the decision making of autonomous agents is through behavior-based network models. The network consists of distributed behaviors that compete (or coop...
Pavel Lakhtanau, Xiaolin Hu, Fasheng Qiu
101
Voted
JMLR
2010
101views more  JMLR 2010»
14 years 8 months ago
Efficient Reductions for Imitation Learning
Imitation Learning, while applied successfully on many large real-world problems, is typically addressed as a standard supervised learning problem, where it is assumed the trainin...
Stéphane Ross, Drew Bagnell
118
Voted
AIME
2007
Springer
15 years 8 months ago
Variable Selection for Optimal Decision Making
This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...
Lacey Gunter, Ji Zhu, Susan Murphy
146
Voted
TIP
2011
255views more  TIP 2011»
14 years 8 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard