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Learning Interpretable Characteristic Kernels via Decision Forests

Learning Interpretable Characteristic Kernels via Decision Forests

30 November 2018
Sambit Panda
Cencheng Shen
Joshua T. Vogelstein
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Papers citing "Learning Interpretable Characteristic Kernels via Decision Forests"

6 / 6 papers shown
Title
Autoencoding Random Forests
Autoencoding Random Forests
Binh Duc Vu
Jan Kapar
Marvin N. Wright
David S. Watson
83
0
0
27 May 2025
Mondrian Forests: Efficient Online Random Forests
Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan
Daniel M. Roy
Yee Whye Teh
48
216
0
10 Jun 2014
The Random Forest Kernel and other kernels for big data from random
  partitions
The Random Forest Kernel and other kernels for big data from random partitions
Alex O. Davies
Zoubin Ghahramani
98
65
0
18 Feb 2014
Partial Distance Correlation with Methods for Dissimilarities
Partial Distance Correlation with Methods for Dissimilarities
G. Székely
Maria L. Rizzo
117
308
0
10 Oct 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
151
681
0
25 Jul 2012
Hypothesis testing using pairwise distances and associated kernels (with
  Appendix)
Hypothesis testing using pairwise distances and associated kernels (with Appendix)
Dino Sejdinovic
Arthur Gretton
Bharath K. Sriperumbudur
Kenji Fukumizu
95
39
0
02 May 2012
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