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DeepProbLog :
DeepProbLog : Neural Probabilistic Logic Programming
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- Manhaeve, Robin (författare)
- Katholieke Universiteit Leuven, Leuven, Belgium
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- Dumancic, Sebastijan (författare)
- Katholieke Universiteit Leuven, Leuven, Belgium
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- Kimmig, Angelika (författare)
- Cardiff University, Cardiff, England
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visa fler...
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- Demeester, Thomas (författare)
- Ghent University, Ghent, Belgium
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- De Raedt, Luc, 1964- (författare)
- Katholieke Universiteit Leuven, Leuven, Belgium
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visa färre...
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(creator_code:org_t)
- Neural Information Processing Systems Foundation Inc. 2018
- 2018
- Engelska.
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Ingår i: Advances in Neural Information Processing Systems 31 (NIPS 2018). - : Neural Information Processing Systems Foundation Inc.. ; , s. 3753-3760
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- We introduce DeepProbLog, a probabilistic logic programming language that in-corporates deep learning by means of neural predicates. We show how existing inference and learning techniques can be adapted for the new language. Our experiments demonstrate that DeepProbLog supports (i) both symbolic and sub-symbolic representations and inference, (ii) program induction, (iii) probabilistic(logic) programming, and (iv) (deep) learning from examples. To the best of our knowledge, this work is the first to propose a framework where general-purpose neural networks and expressive probabilistic-logical modeling and reasoning are integrated in a way that exploits the full expressiveness and strengths of both worlds and can be trained end-to-end based on examples.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)