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171
Voted
JMLR
2012
13 years 6 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
135
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
141
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
173
Voted
BMCBI
2011
14 years 7 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
116
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...