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ML
2008
ACM
152views Machine Learning» more  ML 2008»
13 years 9 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
BMCBI
2004
116views more  BMCBI 2004»
13 years 9 months ago
Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure p
Background: A detailed understanding of an RNA's correct secondary and tertiary structure is crucial to understanding its function and mechanism in the cell. Free energy mini...
Kishore J. Doshi, Jamie J. Cannone, Christian W. C...
WINET
2010
159views more  WINET 2010»
13 years 7 months ago
Approximation algorithm for minimal convergecast time problem in wireless sensor networks
In this paper we consider how to collect data from sensors deployed in the Euclidean plane in a timeefficient way. We assume that all sensors could adjust their transmission range...
Weiping Shang, Peng-Jun Wan, Xiaodong Hu
CORR
2011
Springer
133views Education» more  CORR 2011»
13 years 23 days ago
Minimizing the sum of many rational functions
We consider the problem of globally minimizing the sum of many rational functions over a given compact semialgebraic set. The number of terms can be large (10 to 100), the degree ...
Florian Bugarin, Didier Henrion, Jean B. Lasserre
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 4 months ago
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
—Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological ...
Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozb...