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» The GLOBAL optimization method revisited
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MP
1998
61views more  MP 1998»
13 years 7 months ago
A branch and bound method for stochastic global optimization
Vladimir I. Norkin, Georg Ch. Pflug, Andrezj Ruszc...
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
14 years 1 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
GMP
2008
IEEE
153views Solid Modeling» more  GMP 2008»
14 years 1 months ago
A Revisit to Least Squares Orthogonal Distance Fitting of Parametric Curves and Surfaces
Fitting of data points by parametric curves and surfaces is demanded in many scientific fields. In this paper we review and analyze existing least squares orthogonal distance fi...
Yang Liu, Wenping Wang
AMC
2008
88views more  AMC 2008»
13 years 7 months ago
Global convergence of a modified spectral FR conjugate gradient method
Abstract: The nonlinear conjugate gradient method is widely used in unconstrained optimization. However, the line search is very difficult or expensive sometimes. In this paper, we...
Shou-qiang Du, Yuan-yuan Chen
TSP
2010
13 years 2 months ago
Welch method revisited: nonparametric power spectrum estimation via circular overlap
The objective of this paper is twofold. The first part provides further insight in the statistical properties of the Welch power spectrum estimator. A major drawback of the Welch m...
Kurt Barbé, Rik Pintelon, Johan Schoukens