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» On Markov Chains for Independent Sets
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BMCBI
2007
138views more  BMCBI 2007»
13 years 8 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
BMCBI
2005
122views more  BMCBI 2005»
13 years 8 months ago
Bayesian coestimation of phylogeny and sequence alignment
Background: Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this p...
Gerton Lunter, István Miklós, Alexei...
GLOBECOM
2007
IEEE
14 years 3 months ago
An Analytical Model for a Book-Ahead Bandwidth Scheduler
— Optical networks with book-ahead bandwidth schedulers are being deployed to meet the high-speed and predictable-service networking requirements of applications in the scientiï¬...
Xiangfei Zhu, Mark E. McGinley, Tao Li, Malathi Ve...
ISAAC
1998
Springer
66views Algorithms» more  ISAAC 1998»
14 years 1 months ago
A Parallel Algorithm for Sampling Matchings from an Almost Uniform Distribution
In this paper we present a randomized parallel algorithm to sample matchings from an almost uniform distribution on the set of matchings of all sizes in a graph. First we prove th...
Josep Díaz, Jordi Petit, Panagiotis Psychar...
IJCAI
2001
13 years 10 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell