255 search results - page 34 / 51 » Distributed sparse linear regression |
93
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
94
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BMCBI
2008
15 years 16 days ago
2008
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
EUROPAR
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
100
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PAAPP
2002
15 years 2 days ago
2002
Applications involving large sparse nonsymmetric linear systems encourage parallel implementations of robust iterative solution methods, such as GMRES(k). Two parallel versions of...
106
Voted
CORR
2008
Springer
15 years 15 days ago
2008
Springer
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...