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ISMB
1993
15 years 1 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
NAACL
2010
14 years 9 months ago
Learning Words and Their Meanings from Unsegmented Child-directed Speech
Most work on language acquisition treats word segmentation--the identification of linguistic segments from continuous speech-and word learning--the mapping of those segments to me...
Bevan K. Jones, Mark Johnson, Michael C. Frank
ICPR
2008
IEEE
15 years 6 months ago
Spam filtering with several novel bayesian classifiers
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
Chuanliang Chen, Yingjie Tian, Chunhua Zhang
EKAW
2004
Springer
15 years 5 months ago
Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks
Among the various tasks involved in building a Bayesian network for a real-life application, the task of eliciting all probabilities required is generally considered the most daunt...
Eveline M. Helsper, Linda C. van der Gaag, Floris ...
IDA
2006
Springer
14 years 11 months ago
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
Allan Tucker, Peter A. C. 't Hoen, Veronica Vincio...