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Multi-Target Regression via Random Linear Target Combinations

Multi-Target Regression via Random Linear Target Combinations

20 April 2014
Grigorios Tsoumakas
Eleftherios Spyromitros Xioufis
Aikaterini Vrekou
I. Vlahavas
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Papers citing "Multi-Target Regression via Random Linear Target Combinations"

5 / 5 papers shown
Title
Local Explanation of Dimensionality Reduction
Local Explanation of Dimensionality Reduction
Avraam Bardos
Ioannis Mollas
Nick Bassiliades
Grigorios Tsoumakas
14
7
0
29 Apr 2022
Probabilistic Regressor Chains with Monte Carlo Methods
Probabilistic Regressor Chains with Monte Carlo Methods
Jesse Read
Luca Martino
BDL
UQCV
AI4CE
LRM
35
11
0
18 Jul 2019
Gradient tree boosting with random output projections for multi-label
  classification and multi-output regression
Gradient tree boosting with random output projections for multi-label classification and multi-output regression
Arnaud Joly
L. Wehenkel
Pierre Geurts
21
6
0
18 May 2019
Exploiting random projections and sparsity with random forests and
  gradient boosting methods -- Application to multi-label and multi-output
  learning, random forest model compression and leveraging input sparsity
Exploiting random projections and sparsity with random forests and gradient boosting methods -- Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity
Arnaud Joly
30
10
0
26 Apr 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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