Регрессионная модель, основанная на выпуклых комбинациях, максимально коррелирующих с откликом. |
2015 |
А. А. Докукин, О. В. Сенько |
link |
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Оптимальные выпуклые корректирующие процедуры в задачах высокой размерности. |
2011 |
А. А. Докукин, О. В. Сенько |
link |
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Correlation maximization in regression models based on convex combinations. |
2011 |
Senko O., Dokukin A. |
link |
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An optimal ensemble of predictors in convex correcting procedures. |
2009 |
Senko O.V. |
link |
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High dimensional data: p >> n in mathematical statistics and bio-medical applications. |
2004 |
van de Geer Sara, van Houwelingen Johannes |
link |
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Ridge Regression in Practice. |
1975 |
Donald W. Marquardt and Ronald D. Snee |
link |
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Regression Shrinkage and Selection via the Lasso. |
1994 |
Robert Tibshirani |
link |
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Regularization and variable selection via the elastic net. |
2003 |
Hui Zou and Trevor Hastie |
link |
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Least Angle Regression. |
2004 |
Bradley Efron, Trevor Hastie, Iain Johnstone, Robert Tibshirani |
link |
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Relaxed lasso. |
2006 |
Meinshausen N. |
link |
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A Sparse-Group lasso |
2013 |
Noah Simon, Jerome Friedman, Trevor Hastie and Robert Tibshirani |
link |
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Random generalized linear model: a highly accurate and interpretable ensemble predictor |
2013 |
Song Lin, Langfelder Peter, Horvath Steve |
link |
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Robust and sparse estimators for linear regression models |
2017 |
Smucler E., Yohai V. J. |
link |
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Regularization paths for generalized linear models via coordinate descent |
2010 |
Jerome H. Friedman, Trevor Hastie, Rob Tibshirani |
link |
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Stacked regressions |
1996 |
Breiman L. |
link |
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Random forests – random features |
1999 |
Breiman L. |
link |
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Ensembles of Regularized Linear Models |
2001 |
Anthony Christidis, Laks V.S. Lakshmanan, Ezequiel Smucler, Ruben Zamar |
link |
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Managing diversity in regression ensembles |
2005 |
Brown G., Wyatt J.L., Tino P. |
link |
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