Inductive logic programming : 30th International Conference, ILP 2021, Virtual event, October 25-27, 2021, Proceedings

Inductive logic programming : 30th International Conference, ILP 2021, Virtual event, October 25-27, 2021, Proceedings / Nikos Katzouris, Alexander Artikis (eds.).

This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2032, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected f...

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Bibliographic Details
Corporate Author: ILP (Conference) Online)
Other Authors: Katzouris, Nikos (Editor), Artikis, Alexander (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2022.
Series:Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13191.
LNCS sublibrary. Artificial intelligence.
Subjects:
Logic programming > Congresses.
Induction (Logic) > Congresses.
Machine learning > Congresses.
Induction (Logic)
Logic programming
Machine learning
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge
  • Fanizzi Automatic Conjecturing of P-Recursions Using Lifted Inference
  • Machine learning of microbial interactions using Abductive ILP and Hypothesis Frequency/Compression Estimation
  • Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classification
  • Reyes Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning
  • Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design
  • Non-Parametric Learning of Embeddings for Relational Data using Gaifman Locality Theorem
  • Ontology Graph Embeddings and ILP for Financial Forecasting
  • Transfer learning for boosted relational dependency networks through genetic algorithm
  • Online Learning of Logic Based Neural Network Structures
  • Programmatic policy extraction by iterative local search
  • Mapping across relational domains for transfer learning with word embeddings-based similarity
  • A First Step Towards Even More Sparse Encodings of Probability Distributions
  • Feature Learning by Least Generalization
  • Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance
  • Learning and revising dynamic temporal theories in the full Discrete Event Calculus
  • Human-like rule learning from images using one-shot hypothesis derivation
  • Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits
  • A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics.

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