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Ensemble methods, such as stacking, are designed to boost predictive accuracy by blending the predictions of multiple machine learning models.
Adjustment of an inverse matrix corresponding to changes in the elements of a given column or a given row of the original matrix
Jack Sherman and Winifred J. Morrison · 1949
Earlier work this paper cites.
Applying machine learning for prediction, recommmendation, and integration, August 2009
Xinlong Bao · 1957
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Stacked generalization
David H. Wolpert · 1992
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Stacked regressions
Leo Breiman · 1996
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A dynamic integration algorithm for an ensemble of classifiers
Seppo Puuronen, Vagan Terziyan, and Alexey Tsymbal · 1999
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Issues in stacked generalization
Kai Ming Ting and Ian H. Witten · 1999
Earlier work this paper cites.
Stacking classifiers for anti-spam filtering of E-mail
Georgios Sakkis, Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos, and Panagiotis Stamatopoulos · 2001
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Is combining classifiers with stacking better than selecting the best one?
Saso Dẑeroski and Bernard Ẑenko · 2004
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UCI machine learning repository, 2007
A. Asuncion and D.J. Newman · 2007
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The bellkor solution to the netflix prize, November 2007
Robert Bell, Yehuda Koren, and Chris Volinsky · 2007
Cited alongside, same era.
Scalable collaborative filtering with jointly derived neighborhood interpolation weights
Robert M. Bell and Yehuda Koren · 2007
Cited alongside, same era.
Mccv stacked regression for model combination and fast spectral interval selection in multivariate calibration
Lu Xu et. al · 2007
Cited alongside, same era.
Improving regularized singular value decomposition for collaborative filtering, 2007
A. Paterek · 2007
Cited alongside, same era.
Restricted boltzmann machines for collaborative filtering
Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey E. Hinton · 2007
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Yehuda Koren · 2008
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The bellkor solution to the netflix grand prize, September 2009
Yehuda Koren · 2009
Closest in time.
Collaborative filtering with temporal dynamics
Yehuda Koren · 2009
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The pragmatic theory solution to the netflix grand prize, September 2009
Martin Piotte and Martin Chabbert · 2009
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Ordinal matrix factorization, September 2009
Joseph Sill · 2009
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Scalable collaborative filtering approaches for large recommender systems, March 2009
Gábor Takács, István Pilászy, Bottyán Németh, and Domonkos Tikk · 2009
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Cited alongside, same era.
The bellkor 2008 solution to the netflix prize, December 2008
Robert Bell, Yehuda Koren, and Chris Volinsky · 2008
Cited alongside, same era.
An algorithmic framework for performing collaborative filtering
Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and John Riedl
Cited in the paper.
The bigchaos solution to the netflix grand prize, September 2009
Andreas Toscher, Michael Jahrer, and Robert Bell · 2009
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