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» Dirichlet Process Mixtures of Generalized Linear Models
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PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
16 years 2 days ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
WWW
2009
ACM
16 years 6 months ago
General auction mechanism for search advertising
In sponsored search, a number of advertising slots is available on a search results page, and have to be allocated among a set of advertisers competing to display an ad on the pag...
Dávid Pál, Gagan Aggarwal, Martin P&...
ESANN
2004
15 years 7 months ago
Separability of analytic postnonlinear blind source separation with bounded sources
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Fabian J. Theis, Peter Gruber
ICASSP
2011
IEEE
14 years 9 months ago
Phoneme selective speech enhancement using the generalized parametric spectral subtraction estimator
In this study, the generalized parametric spectral subtraction estimator is employed in the context of a ROVER speech enhancement framework to develop a robust phoneme class selec...
Amit Das, John H. L. Hansen
QRE
2008
140views more  QRE 2008»
15 years 5 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...