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» Graph model selection using maximum likelihood
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PPSN
2004
Springer
15 years 7 months ago
A Visual Demonstration of Convergence Properties of Cooperative Coevolution
Abstract. We introduce a model for cooperative coevolutionary algorithms (CCEAs) using partial mixing, which allows us to compute the expected long-run convergence of such algorith...
Liviu Panait, R. Paul Wiegand, Sean Luke
ICASSP
2011
IEEE
14 years 6 months ago
Improved F0 modeling and generation in voice conversion
F0 is an acoustic feature that varies largely from one speaker to another. F0 is characterized by a discontinuity in the transition between voiced and unvoiced sounds that present...
Aki Kunikoshi, Yao Qian, Frank K. Soong, Nobuaki M...
106
Voted
BMCBI
2008
103views more  BMCBI 2008»
15 years 2 months ago
Parameter estimation for robust HMM analysis of ChIP-chip data
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
Peter Humburg, David Bulger, Glenn Stone
131
Voted
ICONIP
2007
15 years 3 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
ESANN
2004
15 years 3 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot