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Stephen Muggleton
Investigation of Topic Trends in Computer and Information Science
Can Predicate Invention Compensate for Incomplete Background Knowledge?
Knowledge Mining Biological Network Models Stephen Muggleton
Centre for Bioinformatics Imperial College London Second Report 31
Towards Chemical Universal Turing Machines
Efficiently Learning Efficient Programs
Alan Turing and the Development of Artificial Intelligence
Knowledge Mining Biological Network Models
Logic-Based Machine Learning
Logical Explanations for Deep Relational Machines Using Relevance Information
Spinout Equinox Pharma Speeds up and Reduces the Cost of Drug Discovery
ILP Turns 20 Biography and Future Challenges
Title Goes Here
Inverse Entailment and Progol
Impact Case Study (Ref3b) Page 1 Institution: University of Oxford
Automated Identification of Protein-Ligand Interaction Features Using Inductive Logic Programming: a Hexose Binding Case Study
Learning and Nonmonotonic Reasoning 2013
Automating Science
Top View
Nicos Angelopoulos February, 2021
Inductive Concept Learning in an Equational Logic System
Learning Over Dirty Data Without Cleaning
Towards Chemical Universal Turing Machines
Probabilistic, Logical and Relational Learning - Towards a Synthesis Dagstuhl Seminar
Call for Papers
Inductive Logic Programming
Alan Turing and the Development of Artificial Intelligence
A Tool for Text Mining in Molecular Biology Domains
EXPLAINABLE AI the Tool Is Intended to Assist in Antonio Rago, a Phd Student of Computing, Explains: Learning Methods
Inductive Logic Programming with Gradient Descent for Supervised
Learning Logic Programs by Explaining Failures
Deep Knowledge: Inductive Programming As an Answer