Results 61 to 70 of about 120 (110)
An Explainable Neuro-Symbolic Framework for Online Exam Cheating Detection
Applied SciencesWith the proliferation of online examination systems, protecting academic integrity and reliably detecting cheating have become significant research problems.
Turgut Özseven, Beyza Esin Özseven
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Inductive temporal logic programming.
, 2009 Wir untersuchen die Erweiterung bereits etablierter Mechanismen aus dem Bereich des Induktiven Logischen Programmierens (ILP) auf den Bereich temporaler Logiken. Hierfür definieren wir zwei temporallogische Programmiersprachen und analysieren die Lernbarkeit von Programmen aus diesen Sprachen anhand endlicher Beispielmengen.
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Artificial Intelligence’s Involvement in the Game Talking About God
KaderThere are various ideas about the role that artificial intelligence (AI), which has become an integral part of individual and social life, will play in the future of humanity. Some see it as a tool offering unique opportunities for civilization-building,
Harun Çağlayan
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Condensed Representations for Inductive Logic Programming.
, 2004 De Raedt, Luc, Ramon, Jan
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Inductive logic programming at 30 [PDF]
Machine Learning, 2021 AbstractInductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program) that generalises given training examples and background knowledge. As ILP turns 30, we review the last decade of research.
Stephen Muggleton +2 more
exaly +4 more sources
Probabilistic Inductive Logic Programming [PDF]
Lecture Notes in Computer Science, 2004 Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integration of probabilistic reasoning with first order logic representations and machine learning.
KRISTIAN Kersting +2 more
exaly +4 more sources