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Kernel methods for vector output
Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels…
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11 relations
Bayesian interpretation of kernel regularization
Cross-validation (statistics)
Gaussian process
Graph kernel
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Multi-target prediction: a unifying view on problems and methods
W. Waegeman
,
K. Dembczynski
,
E. Hüllermeier
Data Mining and Knowledge Discovery
2018
Corpus ID: 52177689
Many problem settings in machine learning are concerned with the simultaneous prediction of multiple target variables of diverse…
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Highly Cited
2016
Highly Cited
2016
Multi-target regression via input space expansion: treating targets as inputs
Eleftherios Spyromitros Xioufis
,
Grigorios Tsoumakas
,
William Groves
,
I. Vlahavas
Machine Learning
2016
Corpus ID: 1480930
In many practical applications of supervised learning the task involves the prediction of multiple target variables from a common…
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2015
2015
Multi-target regression from high-speed data streams with adaptive model rules
J. Duarte
,
João Gama
IEEE International Conference on Data Science and…
2015
Corpus ID: 18262582
Many real life prediction problems involve predicting a structured output. Multi-target regression is an instance of structured…
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2013
2013
Habitat modeling with single- and multi-target trees and ensembles
D. Kocev
,
S. Džeroski
Ecol. Informatics
2013
Corpus ID: 7671425
Highly Cited
2012
Highly Cited
2012
Multi-Label Classification Methods for Multi-Target Regression
Eleftherios Spyromitros Xioufis
,
William Groves
,
Grigorios Tsoumakas
,
I. Vlahavas
ArXiv
2012
Corpus ID: 4551407
Real world prediction problems often involve the simultaneous prediction of multiple target variables using the same set of…
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Highly Cited
2011
Highly Cited
2011
Multi-label Problem Transformation Methods: a Case Study
E. A. Cherman
,
M. C. Monard
,
Jean Metz
CLEI Electron. J.
2011
Corpus ID: 4915082
Traditional classication algorithms consider learning problems that contain only one label, i.e., each example is associated with…
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2010
2010
The Emotional Machine: A Machine Learning Approach to Online Prediction of User's Emotion and Intensity
Amine Trabelsi
,
C. Frasson
10th IEEE International Conference on Advanced…
2010
Corpus ID: 18222786
This paper explores the feasibility of equipping computers with the ability to predict, in a context of a human computer…
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2008
2008
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
Beau Piccart
,
Jan Struyf
,
H. Blockeel
Discovery Science
2008
Corpus ID: 7667298
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting…
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Review
2008
Review
2008
A Bayesian view of challenges in feature selection: multilevel analysis, feature aggregation, multiple targets, redundancy and interaction
P. Antal
,
A. Millinghoffer
,
G. Hullám
,
C. Szalai
,
A. Falus
2008
Corpus ID: 11440809
In the paper we discuss applications of the Bayesian approach to new challenges in relevance analysis. Earlier, we formulated a…
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Highly Cited
2002
Highly Cited
2002
Ranking with Predictive Clustering Trees
L. Todorovski
,
H. Blockeel
,
S. Džeroski
ECML
2002
Corpus ID: 41518402
A novel class of applications of predictive clustering trees is addressed, namely ranking. Predictive clustering trees, as…
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