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ITSL
2008
15 years 8 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
ACL
1996
15 years 8 months ago
Combining Trigram-based and Feature-based Methods for Context-Sensitive Spelling Correction
This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of ...
Andrew R. Golding, Yves Schabes
NAACL
1994
15 years 8 months ago
A Report of Recent Progress in Transformation-Based Error-Driven Learning
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
Eric Brill
BMCBI
2010
149views more  BMCBI 2010»
15 years 7 months ago
RuleMonkey: software for stochastic simulation of rule-based models
Background: The system-level dynamics of many molecular interactions, particularly protein-protein interactions, can be conveniently represented using reaction rules, which can be...
Joshua Colvin, Michael I. Monine, Ryan N. Gutenkun...
BMCBI
2008
145views more  BMCBI 2008»
15 years 7 months ago
The contrasting properties of conservation and correlated phylogeny in protein functional residue prediction
Background: Amino acids responsible for structure, core function or specificity may be inferred from multiple protein sequence alignments where a limited set of residue types are ...
Jonathan R. Manning, Emily R. Jefferson, Geoffrey ...