Go back

Inductive Logic Programming 28th International Conference ILP 2018 Ferrara Italy September 2 4 2018 Proceedings LNAI 11105(1st Edition)

Authors:

Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese

Free inductive logic programming 28th international conference ilp 2018 ferrara italy september 2 4 2018
8 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Shipment time

Expected shipping within 2 Days
Access to 30 Million+ solutions Free
Ask 50 Questions from expert AI-Powered Answers
7 days-trial

Total Price:

$0

List Price: $54.99 Savings: $54.99(100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Inductive Logic Programming 28th International Conference ILP 2018 Ferrara Italy September 2 4 2018 Proceedings LNAI 11105

Price:

$9.99

/month

Book details

ISBN: 3319999591, 978-3319999593

Book publisher: Springer

Get your hands on the best-selling book Inductive Logic Programming 28th International Conference ILP 2018 Ferrara Italy September 2 4 2018 Proceedings LNAI 11105 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Book Summary: 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.