Condizione: Good. Has some wear and creases. Has a remainder mark. paperback Used - Good 2023.
paperback. Condizione: Fine.
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Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2023
ISBN 10: 3031492986 ISBN 13: 9783031492983
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Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 1315, 2023.The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Lingua: Inglese
Editore: Springer-Nature New York Inc, 2024
ISBN 10: 3031492986 ISBN 13: 9783031492983
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Aggiungi al carrelloPaperback. Condizione: Brand New. revised edition. 150 pages. 9.25x6.25x0.50 inches. In Stock.
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Lingua: Inglese
Editore: Springer Nature Switzerland, 2023
ISBN 10: 3031492986 ISBN 13: 9783031492983
Da: moluna, Greven, Germania
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ISBN 10: 3031492986 ISBN 13: 9783031492983
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 1315, 2023.The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland Dez 2023, 2023
ISBN 10: 3031492986 ISBN 13: 9783031492983
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13¿15, 2023.The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.
Lingua: Inglese
Editore: Springer Nature Switzerland, 2023
ISBN 10: 3031492986 ISBN 13: 9783031492983
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 32nd International ConferenceonInductive Logic Programming, ILP 2023, held in Bari, Italy,duringNovember 13-15, 2023.The 11 full papers and 1 short paper included in this book were carefully reviewed andselected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319999591 ISBN 13: 9783319999593
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed conference proceedings of the 28th International Conference on Inductive Logic Programming, ILP 2018, held in Ferrara, Italy, in September 2018.The 10 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.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13¿15, 2023.The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.
Lingua: Inglese
Editore: Springer Nature Switzerland Dez 2023, 2023
ISBN 10: 3031492986 ISBN 13: 9783031492983
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 32nd International ConferenceonInductive Logic Programming, ILP 2023, held in Bari, Italy,duringNovember 13-15, 2023.The 11 full papers and 1 short paper included in this book were carefully reviewed andselected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches. 196 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
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