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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	März 2018
Genre:	EDV / Informatik
	ArtificialIntelligence / computerprogramming / datamining / imageprocessing / inductivelogicprogramming / Künstliche Intelligenz (KI) / learningalgorithms / machinelearning / ProbabilisticGraphicalModels / ProgrammingLanguages / relaltionallearning / Relationaldatamining / RuleLearning / Semantics / Statisticalrelationallearning / Theoretische Informatik mehr...
ISBN:	9783319780894
EAN-Code:	9783319780894
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Serie:	Lecture Notes in Artificial Intelligence #10759 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D 11 mm
Gewicht:	306 gr
Seiten:	196
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.