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» Algorithm Selection via Ranking
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106
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FOCS
2008
IEEE
15 years 18 days ago
Matrix Sparsification for Rank and Determinant Computations via Nested Dissection
The nested dissection method developed by Lipton, Rose, and Tarjan is a seminal method for quickly performing Gaussian elimination of symmetric real positive definite matrices who...
Raphael Yuster
64
Voted
ISMB
2007
15 years 2 months ago
Gene selection via the BAHSIC family of algorithms
Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur...
CORR
2008
Springer
92views Education» more  CORR 2008»
15 years 16 days ago
Nonnegative Matrix Factorization via Rank-One Downdate
Nonnegative matrix factorization (NMF) was popularized as a tool for data mining by Lee and Seung in 1999. NMF attempts to approximate a matrix with nonnegative entries by a produ...
Michael Biggs, Ali Ghodsi, Stephen A. Vavasis
SIGIR
1999
ACM
15 years 4 months ago
Comparing the Performance of Database Selection Algorithms
Abstract We compare the performance of two database selection algorithms reported in the literature. Their performance is compared using a common testbed designed specifically for ...
James C. French, Allison L. Powell, James P. Calla...