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ALDT
2009
Springer
142views Algorithms» more  ALDT 2009»
16 years 27 days ago
Finding Best k Policies
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Peng Dai, Judy Goldsmith
COLT
2007
Springer
16 years 13 days ago
Regret to the Best vs. Regret to the Average
Abstract. We study online regret minimization algorithms in a bicriteria setting, examining not only the standard notion of regret to the best expert, but also the regret to the av...
Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, ...
ICCV
2005
IEEE
15 years 12 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
CAV
2010
Springer
282views Hardware» more  CAV 2010»
15 years 10 months ago
A NuSMV Extension for Graded-CTL Model Checking
Graded-CTL is an extension of CTL with graded quantifiers which allow to reason about either at least or all but any number of possible futures. In this paper we show an extension...
Alessandro Ferrante, Maurizio Memoli, Margherita N...
MOBIHOC
2008
ACM
16 years 5 months ago
Complexity in wireless scheduling: impact and tradeoffs
It has been an important research topic since 1992 to maximize stability region in constrained queueing systems, which includes the study of scheduling over wireless ad hoc networ...
Yung Yi, Alexandre Proutiere, Mung Chiang