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TSP
2010
13 years 3 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
ECIR
2007
Springer
13 years 10 months ago
Results Merging Algorithm Using Multiple Regression Models
: This paper describes a new algorithm for merging the results of remote collections in a distributed information retrieval environment. The algorithm makes use only of the ranks o...
Georgios Paltoglou, Michail Salampasis, Maria Satr...
GRID
2007
Springer
13 years 8 months ago
A Local Facility Location Algorithm for Large-scale Distributed Systems
In the facility location problem (FLP) we are given a set of facilities and a set of clients, each of which is to be served by one facility. The goal is to decide which subset of f...
Denis Krivitski, Assaf Schuster, Ran Wolff
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
14 years 1 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
PLDI
1993
ACM
14 years 15 days ago
Global Optimizations for Parallelism and Locality on Scalable Parallel Machines
Data locality is critical to achievinghigh performance on large-scale parallel machines. Non-local data accesses result in communication that can greatly impact performance. Thus ...
Jennifer-Ann M. Anderson, Monica S. Lam