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IJAR
2010
130views more  IJAR 2010»
14 years 8 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ISMIR
2005
Springer
142views Music» more  ISMIR 2005»
15 years 3 months ago
A Probabilistic Model for Chord Progressions
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in...
Jean-François Paiement, Douglas Eck, Samy B...
ICASSP
2008
IEEE
15 years 4 months ago
Probabilistic structural alignment of RNA sequences
We propose an algorithm for estimating the common secondary structure, alignment, and posterior base pairing probabilities for two RNA sequences. A definition of structural align...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
BMCBI
2010
124views more  BMCBI 2010»
14 years 10 months ago
Estimating time since infection in early homogeneous HIV-1 samples using a poisson model
Background: The occurrence of a genetic bottleneck in HIV sexual or mother-to-infant transmission has been well documented. This results in a majority of new infections being homo...
Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya,...
CORR
1998
Springer
96views Education» more  CORR 1998»
14 years 9 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira