• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 20 matches

• 2022
• 
  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 [contents]
• 2021
• 
  Victor Guimarães, Vítor Santos Costa:
  Online Learning of Logic Based Neural Network Structures. ILP 2021: 140-155
• 
  Rasmus Larsen, Mikkel Nørgaard Schmidt:
  Programmatic Policy Extraction by Iterative Local Search. ILP 2021: 156-166
• 
  Hien D. Nguyen, Chiaki Sakama:
  Feature Learning by Least Generalization. ILP 2021: 193-202
• 
  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. ILP 2021: 26-40
• 
  Jáchym Barvínek, Timothy van Bremen, Yuyi Wang, Filip Zelezný, Ondrej Kuzelka:
  Automatic Conjecturing of P-Recursions Using Lifted Inference. ILP 2021: 17-25
• 
  Leopoldo E. Bertossi, Gabriela Reyes:
  Answer-Set Programs for Reasoning About Counterfactual Interventions and Responsibility Scores for Classification. ILP 2021: 41-56
• 
  Cristina Cornelio, Veronika Thost:
  Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning. ILP 2021: 57-77
• 
  Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy:
  Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. ILP 2021: 78-94
• 
  Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan:
  Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. ILP 2021: 95-110
• 
  Can Erten, Dimitar Kazakov:
  Ontology Graph Embeddings and ILP for Financial Forecasting. ILP 2021: 111-124
• 
  Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha:
  Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. ILP 2021: 125-139
• 
  Thais Luca, Aline Paes, Gerson Zaverucha:
  Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. ILP 2021: 167-182
• 
  Florian Andreas Marwitz, Tanya Braun, Ralf Möller:
  A First Step Towards Even More Sparse Encodings of Probability Distributions. ILP 2021: 183-192
• 
  Yin Jun Phua, Katsumi Inoue:
  Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance. ILP 2021: 203-218
• 
  Oliver Ray:
  Learning and Revising Dynamic Temporal Theories in the Full Discrete Event Calculus. ILP 2021: 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. ILP 2021: 234-250
• 
  Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting:
  Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. ILP 2021: 251-265
• 
  Patrick Westphal, Sahar Vahdati, Jens Lehmann:
  A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. ILP 2021: 266-281
• 
  Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi:
  Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. ILP 2021: 1-16