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FOCS
2008
IEEE
16 years 24 days 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
JEI
2006
162views more  JEI 2006»
15 years 6 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
IPPS
2006
IEEE
16 years 11 days ago
Bio-sequence database scanning on a GPU
Protein sequences with unknown functionality are often compared to a set of known sequences to detect functional similarities. Efficient dynamic programming algorithms exist for t...
Weiguo Liu, Bertil Schmidt, Gerrit Voss, Adrian Sc...
IJIT
2004
15 years 7 months ago
Parallezation Protein Sequence Similarity Algorithms using Remote Method Interface
One of the major problems in genomic field is to perform sequence comparison on DNA and protein sequences. Executing sequence comparison on the DNA and protein data is a computatio...
Mubarak Saif Mohsen, Zurinahni Zainol, Rosalina Ab...
CLEIEJ
2002
113views more  CLEIEJ 2002»
15 years 6 months ago
The MT Stack: Paging Algorithm and Performance in a Distributed Virtual Memory System
Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
Marco T. Morazán, Douglas R. Troeger, Myles...