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» Approximate Expectation Maximization
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ICASSP
2011
IEEE
14 years 7 months ago
From maximum likelihood to iterative decoding
Iterative decoding is considered in this paper from an optimization point of view. Starting from the optimal maximum likelihood decoding, a (tractable) approximate criterion is de...
Florence Alberge, Ziad Naja, Pierre Duhamel
QEST
2006
IEEE
15 years 9 months ago
Limiting Behavior of Markov Chains with Eager Attractors
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
Parosh Aziz Abdulla, Noomene Ben Henda, Richard Ma...
CCCG
2010
15 years 4 months ago
Fast local searches and updates in bounded universes
Given a bounded universe {0, 1, . . . , U-1}, we show how to perform (successor) searches in O(log log ) expected time and updates in O(log log ) expected amortized time, where i...
Prosenjit Bose, Karim Douïeb, Vida Dujmovic, ...
MOC
1998
106views more  MOC 1998»
15 years 2 months ago
Computations of class numbers of real quadratic fields
In this paper an unconditional probabilistic algorithm to compute the class number of a real quadratic field Q( √ d) is presented, which computes the class number in expected ti...
Anitha Srinivasan
ICANN
2009
Springer
15 years 7 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft