Data complexity meta-features for regression problems

In meta-learning, classification problems can be described by a variety of features, including complexity measures. These measures allow capturing the complexity of the frontier that separates the classes. For regression problems, on the other hand, there is a lack of such type of measures. This pap...

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Veröffentlicht in:	Machine learning Jg. 107; H. 1; S. 209 - 246
Hauptverfasser:	Lorena, Ana C., Maciel, Aron I., de Miranda, Péricles B. C., Costa, Ivan G., Prudêncio, Ricardo B. C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2018 Springer Nature B.V
Schlagworte:	Artificial Intelligence Complexity Computer Science Control Datasets Learning Machine learning Mechatronics Natural Language Processing (NLP) Regression analysis Robotics Simulation and Modeling Special Issue on Metalearning and Algorithm Selection Complexity measures Meta-features Meta-learning
ISSN:	0885-6125, 1573-0565
Online-Zugang:	Volltext
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