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ANLP
1997
86views more  ANLP 1997»
13 years 9 months ago
Nymble: a High-Performance Learning Name-finder
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...
Daniel M. Bikel, Scott Miller, Richard M. Schwartz...
ECCV
2000
Springer
14 years 9 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...
ESWA
2007
117views more  ESWA 2007»
13 years 7 months ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde
ICANN
2009
Springer
14 years 2 months ago
Recognition of Properties by Probabilistic Neural Networks
The statistical pattern recognition based on Bayes formula implies the concept of mutually exclusive classes. This assumption is not applicable when we have to identify some non-ex...
Jiri Grim, Jan Hora
BMCBI
2005
127views more  BMCBI 2005»
13 years 7 months ago
Genomes are covered with ubiquitous 11 bp periodic patterns, the "class A flexible patterns"
Background: The genomes of prokaryotes and lower eukaryotes display a very strong 11 bp periodic bias in the distribution of their nucleotides. This bias is present throughout a g...
Etienne Larsabal, Antoine Danchin