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ICML
2000
IEEE
14 years 9 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
BMCBI
2007
163views more  BMCBI 2007»
13 years 9 months ago
Strainer: software for analysis of population variation in community genomic datasets
Background: Metagenomic analyses of microbial communities that are comprehensive enough to provide multiple samples of most loci in the genomes of the dominant organism types will...
John M. Eppley, Gene W. Tyson, Wayne M. Getz, Jill...
BMCBI
2007
128views more  BMCBI 2007»
13 years 9 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
ICSE
2010
IEEE-ACM
14 years 1 months ago
Using twinning to adapt programs to alternative APIs
We describe twinning and its applications to adapting programs to alternative APIs. Twinning is a simple technique that allows programmers to specify a class of program changes, i...
Marius Nita, David Notkin
ICSM
1999
IEEE
14 years 1 months ago
A Two-Phase Process for Software Architecture Improvement
Software architecture is important for large systems in which it is the main means for, among other things, controlling complexity. Current ideas on software architectures were no...
René L. Krikhaar, André Postma, M. P...