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Multi-Target Regression via Input Space Expansion: Treating Targets as
  Inputs
v1v2v3v4v5 (latest)

Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs

28 November 2012
Eleftherios Spyromitros Xioufis
Grigorios Tsoumakas
William Groves
I. Vlahavas
ArXiv (abs)PDFHTML

Papers citing "Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs"

29 / 29 papers shown
Title
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
Eshant English
Christoph Lippert
42
0
0
29 May 2025
Semiparametric conformal prediction
Semiparametric conformal prediction
Ji Won Park
Robert Tibshirani
Kyunghyun Cho
431
5
0
04 Nov 2024
Minimal Learning Machine for Multi-Label Learning
Minimal Learning Machine for Multi-Label Learning
J. Hämäläinen
Amauri Souza
C. L. C. Mattos
João Gomes
T. Kärkkäinen
90
2
0
09 May 2023
On Text-based Personality Computing: Challenges and Future Directions
On Text-based Personality Computing: Challenges and Future Directions
Qixiang Fang
Anastasia Giachanou
A. Bagheri
L. Boeschoten
E. V. Kesteren
Mahdi Shafiee Kamalabad
Daniel L. Oberski
87
7
0
13 Dec 2022
Condensed Gradient Boosting
Condensed Gradient Boosting
S. Emami
Gonzalo Martínez-Munoz
48
4
0
26 Nov 2022
Bayesian learning of feature spaces for multitasks problems
Bayesian learning of feature spaces for multitasks problems
C. Sevilla-Salcedo
Ascensión Gallardo-Antolín
Vanessa Gómez-Verdejo
Emilio Parrado-Hernández
22
1
0
07 Sep 2022
Probabilistic Conformal Prediction Using Conditional Random Samples
Probabilistic Conformal Prediction Using Conditional Random Samples
Zhendong Wang
Ruijiang Gao
Mingzhang Yin
Mingyuan Zhou
David M. Blei
TPM
139
25
0
14 Jun 2022
Local Explanation of Dimensionality Reduction
Local Explanation of Dimensionality Reduction
Avraam Bardos
Ioannis Mollas
Nick Bassiliades
Grigorios Tsoumakas
54
7
0
29 Apr 2022
Explainable Landscape-Aware Optimization Performance Prediction
Explainable Landscape-Aware Optimization Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
71
16
0
22 Oct 2021
Copula-based conformal prediction for Multi-Target Regression
Copula-based conformal prediction for Multi-Target Regression
S. Messoudi
Sebastien Destercke
Sylvain Rousseau
170
48
0
28 Jan 2021
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and
  Incremental Approach
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach
Jinhong Jung
Lee Sael
57
10
0
09 Nov 2020
Deep tree-ensembles for multi-output prediction
Deep tree-ensembles for multi-output prediction
F. Nakano
Konstantinos Pliakos
C. Vens
55
19
0
03 Nov 2020
My tweets bring all the traits to the yard: Predicting personality and
  relational traits in Online Social Networks
My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
Dimitra Karanatsiou
Pavlos Sermpezis
Dritjon Gruda
K. Kafetsios
Ilias Dimitriadis
Athena Vakali
46
25
0
22 Sep 2020
A conditional one-output likelihood formulation for multitask Gaussian
  processes
A conditional one-output likelihood formulation for multitask Gaussian processes
Óscar García Hinde
Vanessa Gómez-Verdejo
M. Martínez‐Ramón
21
6
0
05 Jun 2020
Bayesian Sparse Factor Analysis with Kernelized Observations
Bayesian Sparse Factor Analysis with Kernelized Observations
C. Sevilla-Salcedo
Alejandro Guerrero-López
Pablo Martínez Olmos
Vanessa Gómez-Verdejo
38
7
0
01 Jun 2020
Multi-target regression via output space quantization
Multi-target regression via output space quantization
Eleftherios Spyromitros Xioufis
Konstantinos Sechidis
I. Vlahavas
MQ
33
6
0
22 Mar 2020
Probabilistic Regressor Chains with Monte Carlo Methods
Probabilistic Regressor Chains with Monte Carlo Methods
Jesse Read
Luca Martino
BDLUQCVAI4CELRM
79
11
0
18 Jul 2019
Learning Generalisable Coupling Terms for Obstacle Avoidance via
  Low-dimensional Geometric Descriptors
Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors
Éric Pairet
Paola Ardón
M. Mistry
Y. Pétillot
41
27
0
24 Jun 2019
Outlier Robust Extreme Learning Machine for Multi-Target Regression
Outlier Robust Extreme Learning Machine for Multi-Target Regression
B. Silva
F. Inaba
E. Salles
P. Ciarelli
10
13
0
22 May 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
54
6
0
18 May 2019
A snapshot on nonstandard supervised learning problems: taxonomy,
  relationships and methods
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods
D. Charte
F. Charte
S. García
Francisco Herrera
OffRL
58
34
0
29 Nov 2018
Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-Target Prediction: A Unifying View on Problems and Methods
Willem Waegeman
Krzysztof Dembczyñski
Eyke Huellermeier
42
82
0
07 Sep 2018
Machine learning for predicting thermal power consumption of the Mars
  Express Spacecraft
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft
Matej Petković
R. Boumghar
M. Breskvar
Jannis Brugger
D. Kocev
Jurica Levatić
L. Lucas
Aljaž Osojnik
B. Ženko
Nikola Simidjievski
25
14
0
03 Sep 2018
Making Classifier Chains Resilient to Class Imbalance
Making Classifier Chains Resilient to Class Imbalance
Bin Liu
Grigorios Tsoumakas
32
17
0
30 Jul 2018
Diversity and degrees of freedom in regression ensembles
Diversity and degrees of freedom in regression ensembles
Henry W. J. Reeve
Gavin Brown
UQCV
50
22
0
01 Mar 2018
Dynamic classifier chains for multi-label learning
Dynamic classifier chains for multi-label learning
Pawel Trajdos
M. Kurzynski
56
8
0
20 Oct 2017
A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+
A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+
Pengbo Zhang
Zhi-Xin Yang
44
93
0
28 Aug 2017
Distributed Multi-Task Learning with Shared Representation
Distributed Multi-Task Learning with Shared Representation
Jialei Wang
Mladen Kolar
Nathan Srebro
50
22
0
07 Mar 2016
Multi-Target Regression via Random Linear Target Combinations
Multi-Target Regression via Random Linear Target Combinations
Grigorios Tsoumakas
Eleftherios Spyromitros Xioufis
Aikaterini Vrekou
I. Vlahavas
75
79
0
20 Apr 2014
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