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JMLR
2012
13 years 5 months ago
Minimax Rates of Estimation for Sparse PCA in High Dimensions
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
Vincent Q. Vu, Jing Lei
JMLR
2012
13 years 5 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
JMLR
2012
13 years 5 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
OOPSLA
2007
Springer
15 years 9 months ago
Democratizing the cloud
Programming distributed data-intensive web and mobile applications is gratuitously hard. As the world is moving more and more towards the software as services model, we have to co...
Erik Meijer
IPPS
2000
IEEE
15 years 7 months ago
The Parallelization of a Knowledge Discovery System with Hypergraph Representation
Abstract. Knowledge discovery is a time-consuming and space intensive endeavor. By distributing such an endeavor, we can diminish both time and space. System INDEDpronounced indee...
Jennifer Seitzer, James P. Buckley, Yi Pan, Lee A....