Learning Higher-Order Logic Programs without MiL

Beschreibung

Learning complex programs through inductive logic programming (ILP) remains a formidable challenge. Existing higher-order enabled ILP systems show improved accuracy and learning performance, though remain hampered by the limitations of the underlying learning mechanism. Experimental results show that our extension of the versatile Learning From Failures paradigm by higher-order definitions significantly improves learning performance without the burdensome human guidance required by existing systems. Furthermore, we provide a theoretical framework capturing the class of higher-order definitions handled by our extension. (Joint work with Stanisław J. Purgał and Cezary Kaliszyk.)

Zeitraum	19 Jän. 2022
Ereignistitel	Colloquium at Czech Academy of Science Institute for Computer Science
Veranstaltungstyp	Sonstiges
Ort	ÖsterreichAuf Karte anzeigen