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» On predicting reliability of modules using code coverage
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BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
SQJ
2008
74views more  SQJ 2008»
14 years 9 months ago
Quantitatively measuring object-oriented couplings
Abstract. One key to several quality factors of software is the way components are connected. Software coupling can be used to estimate a number of quality factors, including maint...
Jeff Offutt, Aynur Abdurazik, Stephen R. Schach
COLING
2000
14 years 11 months ago
A Model of Competence for Corpus-Based Machine Translation
A translation is a conversion from a source language into a target language preserving the meaning. A huge number of techniques and computational approaches have been experimented...
Michael Carl
BMCBI
2007
160views more  BMCBI 2007»
14 years 9 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
POPL
2006
ACM
15 years 9 months ago
Engineering with logic: HOL specification and symbolic-evaluation testing for TCP implementations
The TCP/IP protocols and Sockets API underlie much of modern computation, but their semantics have historically been very complex and ill-defined. The real standard is the de fact...
Steve Bishop, Matthew Fairbairn, Michael Norrish, ...