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Inductive logic programming = 32nd I...
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ILP (Conference) (2023 :)
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Inductive logic programming = 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Inductive logic programming/ edited by Elena Bellodi, Francesca Alessandra Lisi, Riccardo Zese.
Reminder of title:
32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023 : proceedings /
remainder title:
ILP 2023
other author:
Bellodi, Elena.
corporate name:
ILP (Conference)
Published:
Cham :Springer Nature Switzerland : : 2023.,
Description:
xviii, 175 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Declarative Sequential Pattern Mining in ASP -- Extracting Rules from ML models in Angluin's Style -- A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs -- Regularization in Probabilistic Inductive Logic Programming -- Towards ILP-based LTLf passive learning -- Learning Strategies of Inductive Logic Programming Using Reinforcement Learning -- Select first, transfer later: choosing proper datasets for statistical relational transfer learning -- GNN based Extraction of Minimal Unsatisfiable Subsets -- What Do Counterfactuals Say about the World? Reconstructing Probabilistic Logic Programs from Answers to "What if?" Queries -- Few-shot learning of diagnostic rules for neurodegenerative diseases using Inductive Logic Programming -- An Experimental Overview of Neural-Symbolic Systems -- Statistical relational structure learning with scaled weight parameters -- A Review of Inductive Logic Programming Applications for Robotic Systems -- Meta Interpretive Learning from Fractal images.
Contained By:
Springer Nature eBook
Subject:
Logic programming - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-49299-0
ISBN:
9783031492990
Inductive logic programming = 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023 : proceedings /
Inductive logic programming
32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023 : proceedings /[electronic resource] :ILP 2023edited by Elena Bellodi, Francesca Alessandra Lisi, Riccardo Zese. - Cham :Springer Nature Switzerland :2023. - xviii, 175 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,143630302-9743 ;. - Lecture notes in computer science ;14363..
Declarative Sequential Pattern Mining in ASP -- Extracting Rules from ML models in Angluin's Style -- A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs -- Regularization in Probabilistic Inductive Logic Programming -- Towards ILP-based LTLf passive learning -- Learning Strategies of Inductive Logic Programming Using Reinforcement Learning -- Select first, transfer later: choosing proper datasets for statistical relational transfer learning -- GNN based Extraction of Minimal Unsatisfiable Subsets -- What Do Counterfactuals Say about the World? Reconstructing Probabilistic Logic Programs from Answers to "What if?" Queries -- Few-shot learning of diagnostic rules for neurodegenerative diseases using Inductive Logic Programming -- An Experimental Overview of Neural-Symbolic Systems -- Statistical relational structure learning with scaled weight parameters -- A Review of Inductive Logic Programming Applications for Robotic Systems -- Meta Interpretive Learning from Fractal images.
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.
ISBN: 9783031492990
Standard No.: 10.1007/978-3-031-49299-0doiSubjects--Topical Terms:
840448
Logic programming
--Congresses.
LC Class. No.: QA76.63
Dewey Class. No.: 005.115
Inductive logic programming = 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023 : proceedings /
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Declarative Sequential Pattern Mining in ASP -- Extracting Rules from ML models in Angluin's Style -- A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs -- Regularization in Probabilistic Inductive Logic Programming -- Towards ILP-based LTLf passive learning -- Learning Strategies of Inductive Logic Programming Using Reinforcement Learning -- Select first, transfer later: choosing proper datasets for statistical relational transfer learning -- GNN based Extraction of Minimal Unsatisfiable Subsets -- What Do Counterfactuals Say about the World? Reconstructing Probabilistic Logic Programs from Answers to "What if?" Queries -- Few-shot learning of diagnostic rules for neurodegenerative diseases using Inductive Logic Programming -- An Experimental Overview of Neural-Symbolic Systems -- Statistical relational structure learning with scaled weight parameters -- A Review of Inductive Logic Programming Applications for Robotic Systems -- Meta Interpretive Learning from Fractal images.
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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.
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based on 0 review(s)
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EB QA76.63
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