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» On Fitting Mixture Models
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ICML
2010
IEEE
15 years 7 months ago
Label Ranking Methods based on the Plackett-Luce Model
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
BC
2008
38views more  BC 2008»
15 years 6 months ago
Spike-timing in primary sensory neurons: a model of somatosensory transduction in the rat
Abstract In previous work, we constructed a simple electromechanical model of transduction in the rat mystacial follicle that was able to replicate primary afferent response profil...
Benjamin Mitchinson, Ehsan Arabzadeh, Mathew E. Di...
PAMI
2006
90views more  PAMI 2006»
15 years 6 months ago
Selection of Generative Models in Classification
This paper is concerned with the selection of a generative model for supervised classification. Classical criteria for model selection assess the fit of a model rather than its abi...
Guillaume Bouchard, Gilles Celeux
VISAPP
2007
15 years 7 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
ICML
2009
IEEE
16 years 7 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani