Detalles del libro
Formato
Tapa blanda
Páginas
368
Idioma
Inglés
Publicado
Mar 12, 2014
Editorial
Springer
ISBN-10
3662165619
ISBN-13
9783662165614
Descripción
In this collection, Stan Matwin presents a series of revised papers from the 12th International Conference on Inductive Logic Programming, held in Sydney in 2002. The conference brought together experts from various fields to explore the latest advancements in algorithms and methodologies for inductive logic programming. The contributions highlight a diverse range of topics, including propositionalization techniques for symbolic relational descriptions and approaches to improve the efficiency of learning algorithms.
These papers reflect the cutting-edge research conducted in the realm of artificial intelligence and machine learning, showcasing innovative strategies that enhance the understanding of complex data. Participants engaged in a rich exchange of ideas, pushing the boundaries of current knowledge and fostering collaboration among researchers. The proceedings serve not only as a record of the conference but also as a valuable resource for those interested in the future directions of inductive logic programming.
These papers reflect the cutting-edge research conducted in the realm of artificial intelligence and machine learning, showcasing innovative strategies that enhance the understanding of complex data. Participants engaged in a rich exchange of ideas, pushing the boundaries of current knowledge and fostering collaboration among researchers. The proceedings serve not only as a record of the conference but also as a valuable resource for those interested in the future directions of inductive logic programming.