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ALT
1999
Springer
15 years 9 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
FLAIRS
2004
15 years 6 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
IPPS
2010
IEEE
15 years 2 months ago
Clustering JVMs with software transactional memory support
Affordable transparent clustering solutions to scale non-HPC applications on commodity clusters (such as Terracotta) are emerging for Java Virtual Machines (JVMs). Working in this ...
Christos Kotselidis, Mikel Luján, Mohammad ...
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PDP
2008
IEEE
15 years 11 months ago
System-Level Virtualization for High Performance Computing
System-level virtualization has been a research topic since the 70’s but regained popularity during the past few years because of the availability of efficient solution such as...
Geoffroy Vallée, Thomas Naughton, Christian...
IPPS
2005
IEEE
15 years 10 months ago
Processor Allocation for Tasks that is Robust Against Errors in Computation Time Estimates
Heterogeneous computing systems composed of interconnected machines with varied computational capabilities often operate in environments where there may be sudden machine failures...
Prasanna Sugavanam, Howard Jay Siegel, Anthony A. ...