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A snapshot on nonstandard supervised learning problems: taxonomy,
  relationships and methods

A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods

29 November 2018
D. Charte
F. Charte
S. García
Francisco Herrera
    OffRL
ArXiv (abs)PDFHTML

Papers citing "A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods"

6 / 6 papers shown
Title
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets
F. Charte
Antonio J. Rivera
M. J. D. Jesus
Francisco Herrera
30
62
0
14 Feb 2018
Multi-Target Regression via Input Space Expansion: Treating Targets as
  Inputs
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs
Eleftherios Spyromitros Xioufis
Grigorios Tsoumakas
William Groves
I. Vlahavas
188
334
0
28 Nov 2012
Kernels for Vector-Valued Functions: a Review
Kernels for Vector-Valued Functions: a Review
Mauricio A. Alvarez
Lorenzo Rosasco
Neil D. Lawrence
GP
210
929
0
30 Jun 2011
Multi-Instance Multi-Label Learning
Multi-Instance Multi-Label Learning
Zhi Zhou
Min-Ling Zhang
Sheng-Jun Huang
Yu-Feng Li
109
415
0
24 Aug 2008
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples
Zhi Zhou
Yu-Yin Sun
Yu-Feng Li
136
479
0
12 Jul 2008
A neural network approach to ordinal regression
A neural network approach to ordinal regression
Jianlin Cheng
593
199
0
08 Apr 2007
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