國立虎尾科技大學 |

Inductive logic programming = 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017 : revised selected papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Inductive logic programming/ edited by Nicolas Lachiche, Christel Vrain.
Reminder of title:	27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017 : revised selected papers /
remainder title:	ILP 2017
other author:	Lachiche, Nicolas.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2018.,
Description:	x, 185 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Logic programming -
Online resource:	http://dx.doi.org/10.1007/978-3-319-78090-0
ISBN:	9783319780900

Inductive logic programming = 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017 : revised selected papers /
Inductive logic programming27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017 : revised selected papers /[electronic resource] :ILP 2017edited by Nicolas Lachiche, Christel Vrain. - Cham :Springer International Publishing :2018. - x, 185 p. :ill., digital ;24 cm. - Lecture notes in computer science,107590302-9743 ;. - Lecture notes in computer science ;6140..

Relational Affordance Learning for Task-dependent Robot Grasping -- Positive and Unlabeled Relational Classification Through Label Frequency Estimation -- On Applying Probabilistic Logic Programming to Breast Cancer Data -- Logical Vision: One-Shot Meta-Interpretive Learning from Real Images -- Demystifying Relational Latent Representations -- Parallel Online Learning of Event Definitions -- Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach -- Parallel Inductive Logic Programming System for Super-linear Speedup -- Inductive Learning from State Transitions over Continuous Domains -- Stacked Structure Learning for Lifted Relational Neural Networks -- Pruning Hypothesis Spaces Using Learned Domain Theories -- An Investigation into the Role of Domain-knowledge on the Use of Embeddings.

This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, 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.

ISBN: 9783319780900

Standard No.: 10.1007/978-3-319-78090-0doiSubjects--Topical Terms:

568059
Logic programming

LC Class. No.: QA76.63 / .I47 2017

Dewey Class. No.: 005.115

Inductive logic programming = 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017 : revised selected papers /
LDR:02701nam a2200349 a 4500 001 924730
003 DE-He213
005 20180314160019.0
006 m d
007 cr nn 008maaau
008 190625s2018 gw s 0 eng d
020 $a 9783319780900 $q (electronic bk.)
020 $a 9783319780894 $q (paper)
024 7 $a 10.1007/978-3-319-78090-0 $2 doi
035 $a 978-3-319-78090-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.63 $b .I47 2017
072 7 $a UYA $2 bicssc
072 7 $a MAT018000 $2 bisacsh
072 7 $a COM051010 $2 bisacsh
082 0 4 $a 005.115 $2 23
090 $a QA76.63 $b .I29 2017
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Inductive logic programming $h [electronic resource] : $b 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017 : revised selected papers / $c edited by Nicolas Lachiche, Christel Vrain.
246 3 $a ILP 2017
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a x, 185 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10759
505 0 $a Relational Affordance Learning for Task-dependent Robot Grasping -- Positive and Unlabeled Relational Classification Through Label Frequency Estimation -- On Applying Probabilistic Logic Programming to Breast Cancer Data -- Logical Vision: One-Shot Meta-Interpretive Learning from Real Images -- Demystifying Relational Latent Representations -- Parallel Online Learning of Event Definitions -- Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach -- Parallel Inductive Logic Programming System for Super-linear Speedup -- Inductive Learning from State Transitions over Continuous Domains -- Stacked Structure Learning for Lifted Relational Neural Networks -- Pruning Hypothesis Spaces Using Learned Domain Theories -- An Investigation into the Role of Domain-knowledge on the Use of Embeddings.
520 $a This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, 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.
650 0 $a Logic programming $3 568059
650 0 $a Induction (Logic) $3 573604
650 0 $a Machine learning $v Congresses. $3 574552 $3 727808
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Logics and Meanings of Programs. $3 670058
650 2 4 $a Programming Techniques. $3 669781
700 1 $a Lachiche, Nicolas. $3 1201900
700 1 $a Vrain, Christel. $3 1201901
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-78090-0
950 $a Computer Science (Springer-11645)