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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 4 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
RV
2010
Springer
128views Hardware» more  RV 2010»
15 years 3 months ago
Reducing Configurations to Monitor in a Software Product Line
A product line is a family of programs where each program is defined by a unique combination of features. Product lines, like conventional programs, can be checked for safety prope...
Chang Hwan Peter Kim, Eric Bodden, Don S. Batory, ...
TSMC
2011
258views more  TSMC 2011»
15 years 27 days ago
Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
PAMI
2010
146views more  PAMI 2010»
15 years 22 days ago
A Hierarchical Visual Model for Video Object Summarization
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of w...
David Liu, Gang Hua, Tsuhan Chen
CISS
2010
IEEE
14 years 9 months ago
On performance evaluation of cooperative spectrum sensing in cognitive radio networks
—This paper presents the system level performance evaluation for energy-detection based cooperative spectrum sensing in cognitive radio networks. Three performance criteria are q...
Gang Xiong, Shalinee Kishore, Aylin Yener