Search results for "Progol"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
84	James Cussens, Saso Dzeroski, Tomaz Erjavec	Morphosyntactic Tagging of Slovene Using Progol.	ILP	1999	DBLP DOI BibTeX RDF
71	Alireza Tamaddoni-Nezhad, Stephen H. Muggleton	A Note on Refinement Operators for IE-Based ILP Systems.	ILP	2008	DBLP DOI BibTeX RDF
71	Simon Colton, Stephen H. Muggleton	Mathematical applications of inductive logic programming.	Mach. Learn.	2006	DBLP DOI BibTeX RDF
71	Liviu Badea, Monica Stanciu	Refinement Operators Can Be (Weakly) Perfect.	ILP	1999	DBLP DOI BibTeX RDF
67	Tomonobu Ozaki, Koichi Furukawa	Application of Pruning Techniques for Propositional Learning to Progol.	ILP	2001	DBLP DOI BibTeX RDF
54	David B. Skillicorn, Yu Wang	Parallel and Sequential Algorithms for Data Mining Using Inductive Logic.	Knowl. Inf. Syst.	2001	DBLP DOI BibTeX RDF	Bump hunting, Progol, Cost modeling, Covering, BSP, Inductive logic, Superlinear speedup, Bulk synchronous parallelism
53	Hiroshi H. Hasegawa, Takashi Washio, Yukari Ishimiya	"Thermodynamics" from Time Series Data Analysis.	Discovery Science	1999	DBLP DOI BibTeX RDF
53	Stephen H. Muggleton, Ashwin Srinivasan 0001, Ross D. King, Michael J. E. Sternberg	Biochemical Knowledge Discovery Using Inductive Logic Programming.	Discovery Science	1998	DBLP DOI BibTeX RDF
35	Thanupol Lerdlamnaochai, Boonserm Kijsirikul	First-Order Logical Neural Networks.	HIS	2004	DBLP DOI BibTeX RDF
31	Niels Pahlavi	Higher-order Logic Learning and lambda-Progol.	ICLP (Technical Communications)	2010	DBLP DOI BibTeX RDF
31	Stephen H. Muggleton, Alireza Tamaddoni-Nezhad	QG/GA: a stochastic search for Progol.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Genetic Algorithms, Refinement, Stochastic search
31	Stephen H. Muggleton, Alireza Tamaddoni-Nezhad	QG/GA: A Stochastic Search for Progol.	ILP	2006	DBLP DOI BibTeX RDF
31	Oliver Ray, Krysia Broda, Alessandra Russo	Hybrid Abductive Inductive Learning: A Generalisation of Progol.	ILP	2003	DBLP DOI BibTeX RDF
31	N. Moriuchi	Rule Base Revision System THERES using Progol.	Artificial Intelligence and Soft Computing	2000	DBLP BibTeX RDF
31	Paul W. Finn, Stephen H. Muggleton, David Page, Ashwin Srinivasan 0001	Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL.	Mach. Learn.	1998	DBLP DOI BibTeX RDF
31	Martin Eineborg, Nikolaj Lindberg	Induction of Constraint Grammar-Rules Using Progol.	ILP	1998	DBLP DOI BibTeX RDF
31	Keiko Shimazu, Koichi Furukawa	Knowledge discovery in database by Progol-design, implementation and its application to expert system building.	SAC	1997	DBLP DOI BibTeX RDF	KDD, ILP, datamining, ER model, E-mail-classification
31	Tomonobu Ozaki, Koichi Furukawa, Tomoko Murakami, Ken Ueno	Realizing Progol by Forward Reasoning.	ILP	1997	DBLP DOI BibTeX RDF
31	James Cussens	Part-of-Speech Tagging Using Progol.	ILP	1997	DBLP DOI BibTeX RDF
31	Koichi Furukawa, Tomoko Murakami, Ken Ueno, Tomonobu Ozaki, Keiko Shimazu	On a Sufficient Condition for the Existence of Most Specific Hypothesis in Progol.	ILP	1997	DBLP DOI BibTeX RDF
31	Christopher H. Bryant	Data Mining via ILP: The Application of Progol to a Database of Enantioseparations.	ILP	1997	DBLP DOI BibTeX RDF
31	Hiroshi Fujita, Naoki Yagi, Tomonobu Ozaki, Koichi Furukawa	A New Design and Implementation of Progol by Bottom-Up Computation.	Inductive Logic Programming Workshop	1996	DBLP DOI BibTeX RDF
31	Stephen H. Muggleton	Inverse Entailment and Progol.	New Gener. Comput.	1995	DBLP DOI BibTeX RDF
31	Stephen H. Muggleton	Inverting Entailment and Progol.	Machine Intelligence 14	1993	DBLP BibTeX RDF
18	Tim Kimber, Krysia Broda, Alessandra Russo	Induction on Failure: Learning Connected Horn Theories.	LPNMR	2009	DBLP DOI BibTeX RDF	Inverse Entailment, Abductio, Inductive Logic Programming
18	José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton	An ILP System for Learning Head Output Connected Predicates.	EPIA	2009	DBLP DOI BibTeX RDF
18	Slawomir Nowaczyk, Jacek Malec	Inductive Logic Programming Algorithm for Estimating Quality of Partial Plans.	MICAI	2007	DBLP DOI BibTeX RDF
18	Rayner Alfred	The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining.	ADMA	2007	DBLP DOI BibTeX RDF	Multiple Instance Aggregation, Clustering, Relational data Mining, Data Summarization
18	Andreas Fidjeland, Wayne Luk	Archlog: High-Level Synthesis of Reconfigurable Multiprocessors for Logic Programming.	FPL	2006	DBLP DOI BibTeX RDF
18	Érick Alphonse, Céline Rouveirol	Extension of the Top-Down Data-Driven Strategy to ILP.	ILP	2006	DBLP DOI BibTeX RDF
18	Paulo E. Santos, Simon Colton, Derek R. Magee	Predictive and Descriptive Approaches to Learning Game Rules from Vision Data.	IBERAMIA-SBIA	2006	DBLP DOI BibTeX RDF
18	Atsushi Saito, Junzo Munemoto, Daisuke Matsushita	Acquiring Configuration Rules of Form Elements from "Historic" Architectural Facade Employing Inductive Logic Programming.	JSAI Workshops	2005	DBLP DOI BibTeX RDF
18	Andreas Fidjeland, Wayne Luk	Customising Application-Speci.c Multiprocessor Systems: a Case Study.	ASAP	2005	DBLP DOI BibTeX RDF
18	Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen H. Muggleton, Florencio Pazos	Modelling Inhibition in Metabolic Pathways Through Abduction and Induction.	ILP	2004	DBLP DOI BibTeX RDF
18	Teresa Maria Altomare Basile, Stefano Ferilli, Nicola Di Mauro, Floriana Esposito	Incremental Induction of Classification Rules for Cultural Heritage Documents.	IEA/AIE	2004	DBLP DOI BibTeX RDF
18	Keiko Shimazu, Atsuhito Momma, Koichi Furukawa	DAISY, an RER Model Based Interface for RDB to ILP.	ER	2003	DBLP DOI BibTeX RDF
18	Ratthachat Chatpatanasiri, Boonserm Kijsirikul	Learning First-Order Bayesian Networks.	AI	2003	DBLP DOI BibTeX RDF	First-Order Bayesian Networks, Overfitting Problem, Propositionalisation, Feature Extraction, Inductive Logic Programming
18	Flaviu Adrian Marginean	Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic.	GECCO	2003	DBLP DOI BibTeX RDF
18	Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito	Incremental Induction of Rules for Document Image Understanding.	AI*IA	2003	DBLP DOI BibTeX RDF
18	Stephen H. Muggleton	Learning Structure and Parameters of Stochastic Logic Programs.	ILP	2002	DBLP DOI BibTeX RDF	Stochastic logic programs, numerical methods, generalisation, analytical methods
18	Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook	Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems.	ILP	2002	DBLP DOI BibTeX RDF
18	Filip Zelezný	Learning Functions from Imperfect Positive Data.	ILP	2001	DBLP DOI BibTeX RDF
18	Martin Eineborg, Nikolaj Lindberg	ILP in Part-of-Speech Tagging - An Overview.	Learning Language in Logic	1999	DBLP DOI BibTeX RDF
18	James Cussens, Stephen G. Pulman	Experiments in Inductive Chart Parsing.	Learning Language in Logic	1999	DBLP DOI BibTeX RDF
18	Hayato Ohwada, Fumio Mizoguchi	Parallel Execution for Speeding Up Inductive Logic Programming Systems.	Discovery Science	1999	DBLP DOI BibTeX RDF
18	Rupert Parson, Khalid Khan, Stephen H. Muggleton	Theory Recovery.	ILP	1999	DBLP DOI BibTeX RDF
18	Nikolaj Lindberg, Martin Eineborg	Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge.	ILP	1999	DBLP DOI BibTeX RDF
18	Tamás Horváth 0001, Zoltán Alexin, Tibor Gyimóthy, Stefan Wrobel	Application of Different Learning Methods to Hungarian Part-of-Speech Tagging.	ILP	1999	DBLP DOI BibTeX RDF
18	Eric McCreath, Arun Sharma 0001	LIME: A System for Learning Relations.	ALT	1998	DBLP DOI BibTeX RDF
18	Henrik Boström	Predicate Invention and Learning from Positive Examples Only.	ECML	1998	DBLP DOI BibTeX RDF