Constructing generative logical models for optimisation problems using domain knowledge

In this paper we seek to identify data instances with a low value of some objective (or cost) function. Normally posed as optimisation problems, our interest is in problems that have the following characteristics: (a) optimal, or even near-optimal solutions are very rare; (b) it is expensive to obta...

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Veröffentlicht in:	Machine learning Jg. 109; H. 7; S. 1371 - 1392
Hauptverfasser:	Srinivasan, Ashwin, Vig, Lovekesh, Shroff, Gautam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2020 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computer Science Control Domains Functional groups Logic programming Machine Learning Mechatronics Natural Language Processing (NLP) Optimization Random sampling Ring structures Robotics Simulation and Modeling Special Issue of the Inductive Logic Programming (ILP) 2019 Inductive logic programming Generative models Domain knowledge guided optimisation
ISSN:	0885-6125, 1573-0565
Online-Zugang:	Volltext
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