Propositionalization and embeddings: two sides of the same coin

Data preprocessing is an important component of machine learning pipelines, which requires ample time and resources. An integral part of preprocessing is data transformation into the format required by a given learning algorithm. This paper outlines some of the modern data processing techniques used...

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Veröffentlicht in:	Machine learning Jg. 109; H. 7; S. 1465 - 1507
Hauptverfasser:	Lavrač, Nada, Škrlj, Blaž, Robnik-Šikonja, Marko
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Cognitive tasks Computer Science Control Data integration Data processing Format Machine Learning Mechatronics Natural Language Processing (NLP) Preprocessing Robotics Simulation and Modeling Special Issue of the Inductive Logic Programming (ILP) 2019 Tables (data) Task complexity Transformations Relational learning Embeddings Propositionalization Inductive logic programming Knowledge graphs
ISSN:	0885-6125, 1573-0565
Online-Zugang:	Volltext
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