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Now showing items 1-10 of 12

Fast approximate minimization: Speeding up robust regression

Type: Journal Paper

Publisher: Elsevier Science

Year: 2014

Asymmetric tube support vector regression

Type: Journal Paper

Publisher: Elsevier Science

Year: 2014

Robust methods for inferring sparse network structures

Type: Journal Paper

Author : Vinciotti, Veronica - Hashem, Hussein

Year: 2013

A note on EM algorithm for mixture models

Type: Journal Paper

Author : Yao, Weixin

Publisher: Elsevier Science

Year: 2013

Robust mixture regression using the distribution

Type: Journal Paper

Author : Yao, Weixin - Wei, Yan - Yu, Chun

Publisher: Elsevier Science

Year: 2014

Regression with outlier shrinkage

Type: Journal Paper

Author : Xiong, Shifeng - Joseph, V. Roshan

Publisher: Elsevier Science

Year: 2013

Efficient estimation of the link function parameter in a robust Bayesian binary regression model

Type: Journal Paper

Author : Roy, Vivekananda

Publisher: Elsevier Science

Year: 2014

M regression, false discovery rates and outlier detection with application to genetic association studies

Type: Journal Paper

Author : Lourenço, V.M. - Pires, A.M.

Publisher: Elsevier Science

Year: 2014

On the implementation of LIR: The case of simple linear regression with interval data

Type: Journal Paper

Author : Cattaneo, M.E.G.V. - Wiencierz, A.

Publisher: Springer-Verlag

Year: 2014

Robust Relevance Vector Machine With Variational Inference for Improving Virtual Metrology Accuracy

Type: Journal Paper

Author : Sangheum Hwang; Jeong, Myong K.; Bong-Jin Yum

Publisher: IEEE

Year: 2014

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Fast approximate minimization: Speeding up robust regression

Asymmetric tube support vector regression

Robust methods for inferring sparse network structures

A note on EM algorithm for mixture models

Robust mixture regression using the distribution

Regression with outlier shrinkage

Efficient estimation of the link function parameter in a robust Bayesian binary regression model

M regression, false discovery rates and outlier detection with application to genetic association studies

On the implementation of LIR: The case of simple linear regression with interval data

Robust Relevance Vector Machine With Variational Inference for Improving Virtual Metrology Accuracy

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Fast approximate minimization: Speeding up robust regression

Asymmetric tube support vector regression

Robust methods for inferring sparse network structures

A note on EM algorithm for mixture models

Robust mixture regression using the distribution

Regression with outlier shrinkage

Efficient estimation of the link function parameter in a robust Bayesian binary regression model

M regression, false discovery rates and outlier detection with application to genetic association studies

On the implementation of LIR: The case of simple linear regression with interval data

Robust Relevance Vector Machine With Variational Inference for Improving Virtual Metrology Accuracy