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IOR
2006
163views more  IOR 2006»
14 years 9 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
NETWORKS
2002
14 years 9 months ago
Isomorphisms of the De Bruijn digraph and free-space optical networks
The de Bruijn digraph B(d, D) has degree d, diameter D, dD vertices and dD+1 arcs. It is usually defined by words of size D on an alphabet of cardinality d, through a cyclic left ...
David Coudert, Afonso Ferreira, Stephane Perennes
85
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ACL
2007
14 years 11 months ago
Moses: Open Source Toolkit for Statistical Machine Translation
We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decodi...
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris ...
85
Voted
BMCBI
2007
159views more  BMCBI 2007»
14 years 9 months ago
Detecting differential expression in microarray data: comparison of optimal procedures
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
Elena Perelman, Alexander Ploner, Stefano Calza, Y...
60
Voted
BMCBI
2007
77views more  BMCBI 2007»
14 years 9 months ago
Effective selection of informative SNPs and classification on the HapMap genotype data
Background: Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to i...
Nina Zhou, Lipo Wang