{"product_id":"9783030492090","title":"Inductive Logic Programming : 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings (Lecture Notes in Computer Science 11770) (1st ed. 2020. 2020. ix, 145 S. 106 SW-Abb., 19 Farbabb. 235 mm)","description":"\u003cp\u003eThis book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019.\u003c\/p\u003e \u003cp\u003eThe 11 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.\u003c\/p\u003e CONNER: A Concurrent ILP Learner in Description Logic.- Towards Meta-interpretive Learning of Programming Language Semantics.- Towards an ILP Application in Machine Ethics.- On the Relation Between Loss Functions and T-Norms.- Rapid Restart Hill Climbing for Learning Description Logic Concepts.- Neural Networks for Relational Data.- Learning Logic Programs from Noisy State Transition Data.- A New Algorithm for Computing Least Generalization of a Set of Atoms.- LazyBum: Decision Tree Learning Using Lazy Propositionalization.- Weight Your Words: the Effect of Different Weighting Schemes on Wordification Performance.- Learning Probabilistic Logic Programs over Continuous Data.\u003cbr\u003e","brand":"SPRINGER, BERLIN; SPRINGER INTERNATIONAL PUBLISHING;","offers":[{"title":"Default Title","offer_id":48820165738731,"sku":"00000_00000_00000_00000","price":100.69,"currency_code":"SGD","in_stock":true}],"url":"https:\/\/kinokuniya.com.sg\/products\/9783030492090","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}