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218
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CORR
2006
Springer
113views Education» more  CORR 2006»
15 years 7 months ago
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
Manuel Loth, Philippe Preux
199
Voted
EWSN
2004
Springer
16 years 20 days ago
Networked Slepian-Wolf: Theory and Algorithms
Abstract. In this paper, we consider the minimization of a relevant energy consumption related cost function in the context of sensor networks where correlated sources are generate...
Razvan Cristescu, Baltasar Beferull-Lozano, Martin...
217
Voted
JMLR
2008
159views more  JMLR 2008»
15 years 7 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
JCC
2006
110views more  JCC 2006»
15 years 7 months ago
Using internal and collective variables in Monte Carlo simulations of nucleic acid structures: Chain breakage/closure algorithm
: This article describes a method for solving the geometric closure problem for simplified models of nucleic acid structures by using the constant bond lengths approximation. The r...
Heinz Sklenar, Daniel Wüstner, Remo Rohs
207
Voted
ICCV
2005
IEEE
16 years 9 months ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih