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Y. Yu et al.
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Rajarshi Guhaniyogi et al.
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Qin Wang et al.
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Robert J. Durrant et al.
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M. Stehlik et al.
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Peter Hall et al.
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Mans Thulin
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Kuang-Yao Lee et al.
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Yannis G. Yatracos
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Garritt Page et al.
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Variable selection with error control: another look at stability selection
Rajen D. Shah et al.
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Richard J. Samworth
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Daniela M. Witten et al.
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N. Halko et al.
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J. Mateu et al.
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Gerard Biau et al.
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Roopesh Ranjan et al.
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Stability selection
Nicolai Meinshausen et al.
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Pair-copula constructions of multiple dependence
Kjersti Aas et al.
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Peter Hall et al.
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Peter Hall et al.
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Radu Herbei et al.
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DC Tao et al.
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Bandwidth choice for nonparametric classification
P Hall et al.
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P Hall et al.
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D Achlioptas
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Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
LI Kuncheva et al.
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Y Yatracos
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M Skurichina et al.
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Model-based clustering, discriminant analysis, and density estimation
C Fraley et al.
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R Tibshirani et al.
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A projection pursuit approach to variable selection
A Montanari et al.
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