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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 9 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
PR
2006
122views more  PR 2006»
13 years 9 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt
SIGMETRICS
2008
ACM
127views Hardware» more  SIGMETRICS 2008»
13 years 9 months ago
Image management in a virtualized data center
Industrial research firms such as Gartner and IDC are predicting an explosion in the number of online services in the coming years. Virtualization technologies could play an impor...
Tingxi Tan, Rob Simmonds, Bradley Arlt, Martin F. ...
SLOGICA
2008
135views more  SLOGICA 2008»
13 years 9 months ago
A Way to Interpret Lukasiewicz Logic and Basic Logic
Fuzzy logics are in most cases based on an ad-hoc decision about the interpretation of the conjunction. If they are useful or not can typically be found out only by testing them wi...
Thomas Vetterlein
CCE
2005
13 years 9 months ago
New rigorous one-step MILP formulation for heat exchanger network synthesis
In this paper, a rigorous MILP formulation for grass-root design of heat exchanger networks is developed. The methodology does not rely on traditional supertargeting followed by n...
Andrés F. Barbaro, Miguel J. Bagajewicz