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ICML
2007
IEEE
16 years 7 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ICML
2008
IEEE
16 years 7 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
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...
ICML
2009
IEEE
16 years 7 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
ICALT
2006
IEEE
16 years 14 days ago
Lifelong Competence Development: Towards a Common Metadata Model for Competencies Description - The Case Study of Europass Langu
Competence-based approaches in the field of formal or non-formal education and training are becoming more common and appear to offer the opportunity to develop programmes that mee...
Pythagoras Karampiperis, Demetrios G. Sampson, Dem...