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» Inference for Multiplicative Models
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165
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BMCBI
2004
166views more  BMCBI 2004»
15 years 3 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
TASLP
2010
134views more  TASLP 2010»
14 years 10 months ago
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time fra...
Zhiyao Duan, Bryan Pardo, Changshui Zhang
113
Voted
CODES
1998
IEEE
15 years 7 months ago
Combining multiple models of computation for scheduling and allocation
Many applications include a variety off unctions from different domains. Therefore, they are best modeled with a combination of different modeling languages. For a sound design pr...
Dirk Ziegenbein, Rolf Ernst, Kai Richter, Jür...
117
Voted
IAT
2008
IEEE
15 years 9 months ago
Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems
We analyse data obtained from several collaborative tagging systems and discover that user interests can be very diverse. Traditional methods for representing interests of users a...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
ICML
2004
IEEE
16 years 4 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan