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BMCBI
2011
8 years 5 months ago
Estimation of allele frequency and association mapping using next-generation sequencing data
Background: Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing...
Su Yeon Kim, Kirk E. Lohmueller, Anders Albrechtse...
TWC
2008
137views more  TWC 2008»
9 years 1 months ago
Decoding, Performance Analysis, and Optimal Signal Designs for Coordinate Interleaved Orthogonal Designs
Space-time block codes (STBC) using coordinate interleaved orthogonal designs (CIOD) proposed recently by Khan and Rajan allow single-complex symbol decoding and offer higher data ...
Dung Ngoc Dao, Chintha Tellambura
TR
2008
88views more  TR 2008»
9 years 1 months ago
Reliability Sampling Plans Under Progressive Type-I Interval Censoring Using Cost Functions
Abstract--This paper gives a reliability sampling plan for progressively type I interval censored life tests when the lifetime follows the exponential distribution. We use the maxi...
Syuan-Rong Huang, Shuo-Jye Wu
IJAR
2008
161views more  IJAR 2008»
9 years 1 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
COLING
1992
9 years 2 months ago
Syntactic Ambiguity Resolution Using A Discrimination and Robustness Oriented Adaptive Learning Algorithm
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
Tung-Hui Chiang, Yi-Chung Lin, Keh-Yih Su
IPPS
2003
IEEE
9 years 6 months ago
Phylogenetic Tree Inference on PC Architectures with AxML/PAxML
Inference of phylogenetic trees comprising hundreds or even thousands of organisms based on the maximum likelihood method is computationally extremely expensive. In previous work,...
Alexandros Stamatakis, Thomas Ludwig 0002
ICML
2009
IEEE
10 years 2 months ago
Bayesian inference for Plackett-Luce ranking models
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
John Guiver, Edward Snelson
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