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» On the Power of the Randomized Iterate
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IJCAI
2001
14 years 11 months ago
Learning Iterative Image Reconstruction
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Sven Behnke
UAI
2003
14 years 11 months ago
A Simple Insight into Iterative Belief Propagation's Success
In non-ergodic belief networks the posterior belief of many queries given evidence may become zero. The paper shows that when belief propagation is applied iteratively over arbitr...
Rina Dechter, Robert Mateescu
ML
2008
ACM
152views Machine Learning» more  ML 2008»
14 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...
ICASSP
2011
IEEE
14 years 1 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
ISQED
2006
IEEE
108views Hardware» more  ISQED 2006»
15 years 3 months ago
SMM: Scalable Analysis of Power Delivery Networks by Stochastic Moment Matching
This paper proposes a novel method for analyzing large onchip power delivery networks via a stochastic moment matching (SMM) method. The proposed method extends the existing direc...
Andrew B. Kahng, Bao Liu, Sheldon X.-D. Tan