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» Matrix algebra and applicative programming
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NIPS
2004
13 years 9 months ago
A Direct Formulation for Sparse PCA Using Semidefinite Programming
We examine the problem of approximating, in the Frobenius-norm sense, a positive, semidefinite symmetric matrix by a rank-one matrix, with an upper bound on the cardinality of its...
Alexandre d'Aspremont, Laurent El Ghaoui, Michael ...
EUROPAR
1998
Springer
13 years 12 months ago
Parallel Sparse Matrix Computations Using the PINEAPL Library: A Performance Study
Abstract. The Numerical Algorithms Group Ltd is currently participating in the European HPCN Fourth Framework project on Parallel Industrial NumErical Applications and Portable Lib...
Arnold R. Krommer
ICS
2000
Tsinghua U.
13 years 11 months ago
Next-generation generic programming and its application to sparse matrix computations
The contributions of this paper are the following.
Nikolay Mateev, Keshav Pingali, Paul Stodghill, Vl...
CLUSTER
2007
IEEE
14 years 2 months ago
Satisfying your dependencies with SuperMatrix
— SuperMatrix out-of-order scheduling leverages el abstractions and straightforward data dependency analysis to provide a general-purpose mechanism for obtaining parallelism from...
Ernie Chan, Field G. Van Zee, Enrique S. Quintana-...
ICML
2000
IEEE
14 years 8 months ago
Version Space Algebra and its Application to Programming by Demonstration
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Tessa A. Lau, Pedro Domingos, Daniel S. Weld