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» The Kernel Least-Mean-Square Algorithm
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PR
2008
129views more  PR 2008»
15 years 3 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
SIAMSC
2008
104views more  SIAMSC 2008»
15 years 3 months ago
Reducing Floating Point Error in Dot Product Using the Superblock Family of Algorithms
This paper discusses both the theoretical and statistical errors obtained by various well-known dot products, from the canonical to pairwise algorithms, and introduces a new and mo...
Anthony M. Castaldo, R. Clint Whaley, Anthony T. C...
TPDS
2008
89views more  TPDS 2008»
15 years 3 months ago
Algorithm-Based Fault Tolerance for Fail-Stop Failures
Fail-stop failures in distributed environments are often tolerated by checkpointing or message logging. In this paper, we show that fail-stop process failures in ScaLAPACK matrix ...
Zizhong Chen, Jack Dongarra
117
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SAC
2009
ACM
15 years 10 months ago
An implementation of the earliest deadline first algorithm in Linux
Recently, many projects have been started to introduce some real-time mechanisms into general purpose operating systems (GPOS) in order to make them capable of providing the users...
Dario Faggioli, Michael Trimarchi, Fabio Checconi
145
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IPPS
2009
IEEE
15 years 10 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader