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SIAMJO
2010
137views more  SIAMJO 2010»
13 years 5 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
ICML
2003
IEEE
14 years 8 months ago
Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
Lian Yan, Robert H. Dodier, Michael Mozer, Richard...
ICIAP
2005
ACM
14 years 7 months ago
3D Surface Reconstruction from Scattered Data Using Moving Least Square Method
This paper presents an efficient implementation of moving least square(MLS) approximation for 3D surface reconstruction. The smoothness of the MLS is mainly determined by the weigh...
Soon-Jeong Ahn, Jaechil Yoo, Byung-Gook Lee, Joon-...
INFOCOM
2007
IEEE
14 years 1 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina
IMC
2005
ACM
14 years 1 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang