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» Regularized Policy Iteration
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147
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ICML
2006
IEEE
16 years 4 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan
106
Voted
ISBI
2009
IEEE
15 years 10 months ago
Integrated Modeling and Reconstruction with Sparsity Constraints for FDOT
We present a numerical framework for Fluorescence Diffuse Optical Tomography (fDOT) that combines a forward model together with an iterative reconstruction procedure. Using rapid ...
Jean-Charles Baritaux, Matthieu Guerquin-Kern, Mic...
88
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Variability regularization in large-margin classification
This paper introduces a novel regularization strategy to address the generalization issues for large-margin classifiers from the Empirical Risk Minimization (ERM) perspective. Fi...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
152
Voted
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
14 years 10 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...
172
Voted
CRYPTO
2012
Springer
327views Cryptology» more  CRYPTO 2012»
13 years 6 months ago
Functional Encryption for Regular Languages
We provide a functional encryption system that supports functionality for regular languages. In our system a secret key is associated with a Deterministic Finite Automata (DFA) M....
Brent Waters