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ICSE
2009
IEEE-ACM
13 years 11 months ago
Using Bayesian statistical methods to determine the level of error in large spreadsheets
Spreadsheets are ubiquitous with evidence that Microsoft Excel, the leading application in the area, has an install base of 90% on end-user desktops. Nowhere is the usage of sprea...
Leslie Bradley, Kevin McDaid
BMCBI
2004
139views more  BMCBI 2004»
13 years 4 months ago
Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
Jeffrey P. Townsend
ICASSP
2011
IEEE
12 years 8 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
BMCBI
2006
88views more  BMCBI 2006»
13 years 5 months ago
A two-sample Bayesian t-test for microarray data
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
Richard J. Fox, Matthew W. Dimmic
SIGMOD
2004
ACM
118views Database» more  SIGMOD 2004»
14 years 5 months ago
Effective Use of Block-Level Sampling in Statistics Estimation
Block-level sampling is far more efficient than true uniform-random sampling over a large database, but prone to significant errors if used to create database statistics. In this ...
Surajit Chaudhuri, Gautam Das, Utkarsh Srivastava