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Probabilistic logic learning
- Source :
- ACM SIGKDD Explorations Newsletter. 5:31-48
- Publication Year :
- 2003
- Publisher :
- Association for Computing Machinery (ACM), 2003.
-
Abstract
- The past few years have witnessed an significant interest in probabilistic logic learning, i.e. in research lying at the intersection of probabilistic reasoning, logical representations, and machine learning. A rich variety of different formalisms and learning techniques have been developed. This paper provides an introductory survey and overview of the state-of-the-art in probabilistic logic learning through the identification of a number of important probabilistic, logical and learning concepts.
- Subjects :
- business.industry
Active learning (machine learning)
Computer science
Geography, Planning and Development
Statistical relational learning
Probabilistic logic
Probabilistic database
Bayesian network
Machine learning
computer.software_genre
Inductive programming
Probabilistic argumentation
Inductive logic programming
Probabilistic logic network
Probabilistic CTL
General Earth and Planetary Sciences
Artificial intelligence
Subjective logic
business
computer
Water Science and Technology
Subjects
Details
- ISSN :
- 19310153 and 19310145
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- ACM SIGKDD Explorations Newsletter
- Accession number :
- edsair.doi...........c5b916ccc77b6f5e950512f7f8ad2769
- Full Text :
- https://doi.org/10.1145/959242.959247