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» A Mean-Variance Optimization algorithm
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188
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ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 7 months ago
Near-Optimal Reinforcement Learning in Polynomial Time
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Michael J. Kearns, Satinder P. Singh
ICML
2010
IEEE
15 years 5 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...
IEEEVAST
2010
15 years 2 months ago
Interactive visual analysis of multiobjective optimizations
Optimization problems are typically addressed by purely automatic approaches. For multi-objective problems, however, a single best solution often does not exist. In this case, it ...
Wolfgang Berger, Harald Piringer
207
Voted
ICASSP
2011
IEEE
14 years 11 months ago
Natural gradient approach in orthogonal matrix optimization using cayley transform
Matrix optimization with orthogonal constraints appear in a variety of application fields including signal and image processing. Several researchers have developed algorithms for...
Gen Hori
DGCI
2009
Springer
15 years 10 months ago
Optimal Partial Tiling of Manhattan Polyominoes
Finding an efficient optimal partial tiling algorithm is still an open problem. We have worked on a special case, the tiling of Manhattan polyominoes with dominoes, for which we gi...
Olivier Bodini, Jérémie Lumbroso