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» On Variations of Power Iteration
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164
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ML
2008
ACM
152views Machine Learning» more  ML 2008»
15 years 3 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...
116
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Fixed point iteration for max-min sir balancing with general interference functions
This paper studies the convergence of a fixed point iteration algorithm for the problem of max-min signal-to-interference ratio (SIR) balancing. Differently from the existing wor...
Nikola Vucic, Martin Schubert
ESA
2009
Springer
109views Algorithms» more  ESA 2009»
15 years 10 months ago
Iterative Rounding for Multi-Objective Optimization Problems
In this paper we show that iterative rounding is a powerful and flexible tool in the design of approximation algorithms for multiobjective optimization problems. We illustrate tha...
Fabrizio Grandoni, R. Ravi, Mohit Singh
146
Voted
GLOBECOM
2008
IEEE
15 years 10 months ago
A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels
— In this paper, we propose a low-complexity iterative joint channel estimation, detection and decoding technique for doubly selective channels. The key is a segment-by-segment f...
Qinghua Guo, Ping Li
116
Voted
SIAMSC
2010
141views more  SIAMSC 2010»
15 years 2 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes