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» Bounding Performance Loss in Approximate MDP Homomorphisms
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ECCV
2008
Springer
16 years 5 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
COLT
2005
Springer
15 years 9 months ago
Margin-Based Ranking Meets Boosting in the Middle
Abstract. We present several results related to ranking. We give a general margin-based bound for ranking based on the L∞ covering number of the hypothesis space. Our bound sugge...
Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robe...
JUCS
2007
98views more  JUCS 2007»
15 years 3 months ago
Focus of Attention in Reinforcement Learning
Abstract: Classification-based reinforcement learning (RL) methods have recently been proposed as an alternative to the traditional value-function based methods. These methods use...
Lihong Li, Vadim Bulitko, Russell Greiner
118
Voted
CISS
2008
IEEE
15 years 10 months ago
Rate adaptation via link-layer feedback for goodput maximization over a time-varying channel
Abstract—We consider adapting the transmission rate to maximize the goodput, i.e., the amount of data transmitted without error, over a continuous Markov flat-fading wireless ch...
Rohit Aggarwal, Phil Schniter, Can Emre Koksal
115
Voted
CORR
2010
Springer
121views Education» more  CORR 2010»
15 years 2 months ago
Mechanism Design via Correlation Gap
For revenue and welfare maximization in singledimensional Bayesian settings, Chawla et al. (STOC10) recently showed that sequential posted-price mechanisms (SPMs), though simple i...
Qiqi Yan