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FOCS
2008
IEEE
15 years 12 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 11 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
16 years 6 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
EOR
2007
87views more  EOR 2007»
15 years 5 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 11 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