Stephen H. Muggleton

Available identifiers

zbMath Open muggleton.stephen-hWikidataQ7610052 ScholiaQ7610052MaRDI QIDQ208022

List of research outcomes

Publication	Date of Publication	Type
Correction to: ``Meta-interpretive learning as metarule specialisation	2022-11-28	Paper
Meta-interpretive learning as metarule specialisation	2022-11-28	Paper
Meta-Interpretive Learning: Achievements and Challenges (Invited Paper)	2022-07-01	Paper
Beneficial and harmful explanatory machine learning	2021-11-24	Paper
Top program construction and reduction for polynomial time meta-interpretive learning	2021-11-24	Paper
Logical vision: one-shot meta-interpretive learning from real images	2021-02-08	Paper
Learning higher-order logic programs	2020-10-06	Paper
Learning efficient logic programs	2019-06-26	Paper
Meta-interpretive learning from noisy images	2018-11-12	Paper
Ultra-strong machine learning: comprehensibility of programs learned with ILP	2018-11-12	Paper
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited	2015-12-02	Paper
MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement	2015-09-07	Paper
Meta-interpretive learning: application to grammatical inference	2014-07-14	Paper
ILP turns 20. Biography and future challenges	2012-07-31	Paper
The Scientific Contribution of Marek Sergot	2012-07-23	Paper
Subsumer: A Prolog theta-subsumption engine	2012-05-11	Paper
Can HOLL Outperform FOLL?	2011-06-17	Paper
Stochastic Refinement	2011-06-17	Paper
The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause	2010-10-07	Paper
ProGolem: A System Based on Relative Minimal Generalisation	2010-08-24	Paper
Can ILP Be Applied to Large Datasets?	2010-08-24	Paper
Inductive Logic Programming	2010-02-23	Paper
QG/GA: a stochastic search for Progol	2009-03-31	Paper
Learning probabilistic logic models from probabilistic examples	2009-03-31	Paper
Structured machine learning: the next ten years	2009-03-31	Paper
Learning Stochastic Logical Automaton	2009-03-26	Paper
TopLog: ILP Using a Logic Program Declarative Bias	2009-01-22	Paper
A Note on Refinement Operators for IE-Based ILP Systems	2008-12-02	Paper
Protein Fold Discovery Using Stochastic Logic Programs	2008-03-28	Paper
A Behavioral Comparison of Some Probabilistic Logic Models	2008-03-28	Paper
Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract)	2008-03-28	Paper
Multi-class Prediction Using Stochastic Logic Programs	2007-11-15	Paper
The Complexity of Translating BLPs to RMMs	2007-11-15	Paper
Mathematical applications of inductive logic programming	2006-10-27	Paper
Application of abductive ILP to learning metabolic network inhibition from temporal data	2006-10-27	Paper
Inductive Logic Programming	2006-10-19	Paper
Computational Methods in Systems Biology	2005-12-23	Paper
https://portal.mardi4nfdi.de/entity/Q4413492	2003-07-20	Paper
https://portal.mardi4nfdi.de/entity/Q4413499	2003-07-20	Paper
The effect of relational background knowledge on learning of protein three-dimensional fold signatures	2002-07-22	Paper
https://portal.mardi4nfdi.de/entity/Q4537969	2002-06-25	Paper
https://portal.mardi4nfdi.de/entity/Q4537977	2002-06-25	Paper
https://portal.mardi4nfdi.de/entity/Q2734943	2001-08-30	Paper
Inductive Logic Programming: Issues, results and the challenge of Learning Language in Logic	2000-06-04	Paper
https://portal.mardi4nfdi.de/entity/Q4303112	1995-03-20	Paper
Inductive Logic Programming: Theory and methods	1994-10-13	Paper
Predicate invention and utilization	1994-05-03	Paper
Inductive logic programming	1991-01-01	Paper
https://portal.mardi4nfdi.de/entity/Q3811763	1988-01-01	Paper

Research outcomes over time

Doctoral students

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