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CSDA
2008
56views more  CSDA 2008»
13 years 8 months ago
Robust designs for series estimation
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
Holger Dette, Douglas P. Wiens
ECCV
2002
Springer
14 years 9 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer
ICTAI
2002
IEEE
14 years 25 days ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
ICML
2007
IEEE
14 years 8 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 1 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti