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» Computing LTS Regression for Large Data Sets
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SIGCSE
2008
ACM
211views Education» more  SIGCSE 2008»
13 years 9 months ago
Cluster computing for web-scale data processing
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
Aaron Kimball, Sierra Michels-Slettvet, Christophe...
FC
2009
Springer
150views Cryptology» more  FC 2009»
14 years 3 months ago
Privacy-Preserving Information Markets for Computing Statistical Data
Abstract. Consider an “information market” where private and potentially sensitive data are collected, treated as commodity and processed into aggregated information with comme...
Aggelos Kiayias, Bülent Yener, Moti Yung
JMLR
2006
85views more  JMLR 2006»
13 years 9 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
JPDC
2006
112views more  JPDC 2006»
13 years 9 months ago
Large scale multiple sequence alignment with simultaneous phylogeny inference
Multiple sequence alignment (MSA) and phylogenetic tree reconstruction are one of the most important problems in the computational biology. While both these problems are of great ...
Gilles Parmentier, Denis Trystram, Jaroslaw Zola
IMR
2004
Springer
14 years 2 months ago
Entkerner: A System for Removal of Globally Invisible Triangles from Large Meshes
We present a method that computes a global potentially visible set for the complete region outside the convex hull of an object. The technique is used to remove invisible parts (t...
Manfred Ernst, Frank Firsching, Roberto Grosso