Adrian Silvescu, Carson Andorf, Drena Dobbs, Vasant Honavar  Home/Search
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Abstract: Naive Bayes is a fast to train model for sequence classification. We develop and experiment with two methods that are equally fast (they require only one pass through the training data), but they are also able to models interactions among close neighbours in the sequence (unlike the Naive bayes independence assumption) . The first method basically runs Naive Bayes on overlapping k-grams obtained from the sequence. The second method, called NB(k), constructs a classifier associated with an ... (Update)
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BibTeX entry: (Update)
Silvescu, A., Andorf, C., Dobbs, D., Honavar, V.: Inter-element dependency models for sequence classification. In: ICDM, Submitted (2004) http://citeseer.ist.psu.edu/silvescu04interelement.html More
@misc{ silvescu04interelement,
author = "A. Silvescu and C. Andorf and D. Dobbs and V. Honavar",
title = "Inter-element dependency models for sequence classification",
text = "Silvescu, A., Andorf, C., Dobbs, D., Honavar, V.: Inter-element dependency
models for sequence classification. In: ICDM, Submitted (2004)",
year = "2004",
url = "citeseer.ist.psu.edu/silvescu04interelement.html" }
Citations (may not include all citations):262 Statistical Language Learning - Charniak - 1993
144 Probabilistic Networks and Expert Systems (context) - Lauritzen, Spiegelhalter et al. - 1999
140 A comparison of event models for naive bayes text classifica.. - McCallum, Nigam - 1998
50 The swiss-prot protein sequence database and its supplement .. - Bairoch, Apweiler - 2000
36 The Gene Ontology Consortium. Gene ontology: tool for the un.. (context) - Ontology, ontology et al. - 2000
3 Discovering protein function classification rules from reduc.. (context) - Andorf, Honavar - 2002
1 Statistical Methods in Bioinformatics (context) - Warren, Ewens - 2001
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