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BMCBI
2005
114views more  BMCBI 2005»
14 years 9 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
87
Voted
JUCS
2007
90views more  JUCS 2007»
14 years 9 months ago
High-level Structured Interactive Programs with Registers and Voices
Abstract: A model (consisting of rv-systems), a core programming language (for developing rv-programs), several specification and analysis techniques appropriate for modeling, pro...
Alexandru Popa, Alexandru Sofronia, Gheorghe Stefa...
COLING
2002
14 years 9 months ago
Creating a Finite-State Parser with Application Semantics
Parsli is a finite-state (FS) parser which can be tailored to the lexicon, syntax, and semantics of a particular application using a hand-editable declarative lexicon. The lexicon...
Owen Rambow, Srinivas Bangalore, Tahir Butt, Alexi...
JAIR
2010
160views more  JAIR 2010»
14 years 8 months ago
Constructing Reference Sets from Unstructured, Ungrammatical Text
Vast amounts of text on the Web are unstructured and ungrammatical, such as classified ads, auction listings, forum postings, etc. We call such text “posts.” Despite their in...
Matthew Michelson, Craig A. Knoblock
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
15 years 10 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...