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CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 7 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 1 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...
SIAMSC
2010
117views more  SIAMSC 2010»
13 years 5 months ago
Least-Squares Finite Element Methods for Quantum Electrodynamics
A significant amount of the computational time in large Monte Carlo simulations of lattice field theory is spent inverting the discrete Dirac operator. Unfortunately, traditional...
James J. Brannick, C. Ketelsen, Thomas A. Manteuff...
FGCS
2006
74views more  FGCS 2006»
13 years 7 months ago
A performance model of non-deterministic particle transport on large-scale systems
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Mont...
Mark M. Mathis, Darren J. Kerbyson, Adolfy Hoisie
CSDA
2011
13 years 2 months ago
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach
This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the biascorrected bootst...
Jae H. Kim, Iain Fraser, Rob J. Hyndman