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FOCS
2008
IEEE
15 years 4 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim
PAIRING
2007
Springer
15 years 3 months ago
Remarks on Cheon's Algorithms for Pairing-Related Problems
— In EUROCRYPT 2006, Cheon proposed breakthrough algorithms for pairing-related problems such as the q-weak/strong Diffie-Hellman problem. Using that the exponents of an element ...
Shunji Kozaki, Taketeru Kutsuma, Kazuto Matsuo
ICML
2006
IEEE
15 years 10 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
61
Voted
EOR
2007
87views more  EOR 2007»
14 years 9 months ago
An optimal and scalable parallelization of the two-list
In this paper, we suggest a parallel algorithm based on a shared memory SIMD architecture for solving an n item subset-sum problem in time O(2n/2 /p) by using p = 2q processors, 0...
Carlos Alberto Alonso Sanches, Nei Yoshihiro Soma,...
MEMBRANE
2005
Springer
15 years 3 months ago
Boolean Circuits and a DNA Algorithm in Membrane Computing
In the present paper we propose a way to simulate Boolean gates and circuits in the framework of P systems with active membranes using inhibiting/de-inhibiting rules. This new appr...
Mihai Ionescu, Tseren-Onolt Ishdorj