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138
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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 2 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
140
Voted
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
15 years 2 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
145
Voted
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
15 years 1 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
138
Voted
ITS
2010
Springer
139views Multimedia» more  ITS 2010»
15 years 1 months ago
A Coordinate Geometry Learning Environment with Game-Like Properties
Mily's World is a learning environment for coordinate geometry that has game-like properties, that is, elements of games that are engaging such as cover story, graphical repre...
Dovan Rai, Joseph E. Beck, Neil T. Heffernan
143
Voted
ICDAR
2009
IEEE
15 years 1 months ago
Learning Bayesian Networks by Evolution for Classifier Combination
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
Claudio De Stefano, Francesco Fontanella, Alessand...