Colloquium at Czech Academy of Science Institute for Computer Science
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
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 Stanis?aw J. Purga? and Cezary Kaliszyk.)
Sprache der Kurzfassung:
Englisch
Vortragstyp:
Eingeladener Vortrag an anderen Institutionen
Vortragsdatum:
19.01.2022
Vortragsort:
Österreich
Details zum Vortragsort:
online aufgrund von COVID-19 (geplant in Tschechien)
Forschungs-