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» Fully distributed EM for very large datasets
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ASIACRYPT
2001
Springer
13 years 9 months ago
Fully Distributed Threshold RSA under Standard Assumptions
The aim of this article is to propose a fully distributed environment for the RSA scheme. What we have in mind is highly sensitive applications and even if we are ready to pay a pr...
Pierre-Alain Fouque, Jacques Stern
BMCBI
2010
146views more  BMCBI 2010»
13 years 4 months ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...
ICML
2008
IEEE
14 years 5 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
CCGRID
2004
IEEE
13 years 8 months ago
Serving queries to multi-resolution datasets on disk-based storage clusters
This paper is concerned with efficient querying of very large multi-resolution datasets on storage and compute clusters. We present a suite of services that support storage, index...
Xi Zhang, Tony Pan, Ümit V. Çataly&uum...
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
14 years 5 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke