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ORCID30th ILP 2021 [virtual]
- Nikos Katzouris
, Alexander Artikis:
Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13191, Springer 2022, ISBN 978-3-030-97453-4 - Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi:
Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. 1-16 - Jáchym Barvínek, Timothy van Bremen, Yuyi Wang, Filip Zelezný, Ondrej Kuzelka:
Automatic Conjecturing of P-Recursions Using Lifted Inference. 17-25 - Didac Barroso-Bergada, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton, Corinne Vacher, Nika Galic, David A. Bohan:
Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation. 26-40 - Leopoldo E. Bertossi, Gabriela Reyes:
Answer-Set Programs for Reasoning About Counterfactual Interventions and Responsibility Scores for Classification. 41-56 - Cristina Cornelio, Veronika Thost:
Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning. 57-77 - Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy:
Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. 78-94 - Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan:
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. 95-110 - Can Erten, Dimitar Kazakov:
Ontology Graph Embeddings and ILP for Financial Forecasting. 111-124 - Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha:
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. 125-139 - Victor Guimarães, Vítor Santos Costa:
Online Learning of Logic Based Neural Network Structures. 140-155 - Rasmus Larsen, Mikkel Nørgaard Schmidt:
Programmatic Policy Extraction by Iterative Local Search. 156-166 - Thais Luca, Aline Paes, Gerson Zaverucha:
Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. 167-182 - Florian Andreas Marwitz, Tanya Braun, Ralf Möller:
A First Step Towards Even More Sparse Encodings of Probability Distributions. 183-192 - Hien D. Nguyen, Chiaki Sakama:
Feature Learning by Least Generalization. 193-202 - Yin Jun Phua, Katsumi Inoue:
Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance. 203-218 - Oliver Ray:
Learning and Revising Dynamic Temporal Theories in the Full Discrete Event Calculus. 219-233 - Dany Varghese, Roman Bauer, Daniel Baxter-Beard, Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. 234-250 - Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting:
Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. 251-265 - Patrick Westphal, Sahar Vahdati, Jens Lehmann:
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. 266-281
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