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Searching for "Probabilistic Inductive Logic Programming." – sorted by Relevance.

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18 documents found, showing 1 through 10. Next 10 →

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Multi-Class Prediction Using Stochastic Logic Programs
by Jianzhong Chen, Lawrence Kelley, Stephen Muggleton, Michael Sternberg
… Probabilistic Inductive Logic Programming (PILP) framework that integrates probability, logic representation…
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Combining Bayesian networks with higher-order data representations
by Elias Gyftodimos, Peter A. Flach — 2005 — In 6th International Symposium on Intelligent Data Analysis
… to a new area of research referred to as probabilistic inductive logic programming or probabilistic…
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Abduction with stochastic logic programs based on a possible worlds semantics
by Andreas Arvanitis, Stephen H. Muggleton, Jianzhong Chen, Hiroaki Watanabe — 2006 — In Short Paper Proceedings of the 16th International Conference on Inductive Logic Programming. University of Corunna
… with Stochastic Logic Programs (SLPs), a probabilistic logic formalism defined to have a distributional semantics…
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Raedt. Classic’cl: An integrated ilp system
by Christian Stolle, Andreas Karwath, Luc De Raedt — 2005 — In Discovery Science, (DS 2005), number 3735 in LNCS
… Claudien with probabilistic inductive logic programming. It essentially mines for LPADS, [26…
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Structured machine learning: the next ten years
by Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli — 2008
…, the related field of probabilistic inductive logic programming (PILP) (De Raedt and Kersting 2004…
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Balios - The Engine for Bayesian Logic Programs
by Kristian Kersting, Uwe Dick — 2004 — In Proceedings of the 8th European Conference on Principles and Practice of Knowledege Discovery in Databases (PKDD-2004
… number FP6-508861, Application of Probabilistic Inductive Logic Programming II. References …
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Towards learning stochastic logic programs from proof-banks
by Kristian Kersting, Sunna Torge — 2005 — In Proceedings of the 23th national conference on artificial intelligence, (AAAI 2005
… relational learning (SRL), probabilistic logic learning, or probabilistic inductive logic programming…
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Learning probabilistic logic models from probabilistic examples
by Jianzhong Chen, Stephen Muggleton, José Santos, J. Chen, S. Muggleton, J. Santos, S. Muggleton, J. Santos
… examples. Keywords Probabilistic inductive logic programming · Stochastic logic programs · Abduction…
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Outline
by unknown authors
…. Acknowledgements APrIL II Project (www.aprill.org) – Application of Probabilistic Inductive Logic Programming…
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List of Potential Supervisors
by Neil Audsley, Jim Austin, Iain Bate, Ian Benest, Sam Braunstein, Alan Burns, Ana Cavalcanti, James Cussens, Alistair Edwards, Edwin Hancock, Dimitar Kazakov, Gerald Luettgen, John Mcdermid, Nick Pears, Andy Wellings, Jim Woodcock, Neil Audsley — 2007
… is known as statistical relational learning or probabilistic inductive logic programming. I also continue…
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