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Fast approximate minimization: Speeding up robust regression

نوع: Journal Paper

ناشر: Elsevier Science

سال: 2014

Asymmetric tube support vector regression

نوع: Journal Paper

ناشر: Elsevier Science

سال: 2014

Robust methods for inferring sparse network structures

نوع: Journal Paper

نویسنده : Vinciotti, Veronica - Hashem, Hussein

سال: 2013

A note on EM algorithm for mixture models

نوع: Journal Paper

نویسنده : Yao, Weixin

ناشر: Elsevier Science

سال: 2013

Robust mixture regression using the distribution

نوع: Journal Paper

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

ناشر: Elsevier Science

سال: 2014

Regression with outlier shrinkage

نوع: Journal Paper

نویسنده : Xiong, Shifeng - Joseph, V. Roshan

ناشر: Elsevier Science

سال: 2013

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

نوع: Journal Paper

نویسنده : Roy, Vivekananda

ناشر: Elsevier Science

سال: 2014

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

نوع: Journal Paper

نویسنده : Lourenço, V.M. - Pires, A.M.

ناشر: Elsevier Science

سال: 2014

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

نوع: Journal Paper

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

ناشر: Springer-Verlag

سال: 2014

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

نوع: Journal Paper

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

ناشر: IEEE

سال: 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