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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 8 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
CCGRID
2008
IEEE
14 years 2 months ago
A Stable Broadcast Algorithm
—Distributing large data to many nodes, known as a broadcast or a multicast, is an important operation in parallel and distributed computing. Most previous broadcast algorithms e...
Kei Takahashi, Hideo Saito, Takeshi Shibata, Kenji...
INFOCOM
2009
IEEE
14 years 3 months ago
Exact Analysis of Latency of Stateless Opportunistic Forwarding
Abstract—Stateless opportunistic forwarding is a simple faulttolerant distributed approach for data delivery and information querying in wireless ad hoc networks, where packets a...
Chi-Kin Chau, Prithwish Basu
PVM
2001
Springer
14 years 27 days ago
Review of Performance Analysis Tools for MPI Parallel Programs
In order to produce MPI applications that perform well on today’s parallel architectures, programmers need effective tools for collecting and analyzing performance data. Because ...
Shirley Moore, David Cronk, Kevin S. London, Jack ...
ATAL
2007
Springer
14 years 2 months ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz