Searching for "Probabilistic logic learning." – sorted by Relevance.
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Probabilistic Logic Learning
- Probabilistic Logic Learning Luc De Raedt Institut für Informatik, Albert
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Learning probabilistic logic models from probabilistic examples
- Mach Learn (2008) 73: 55–85 DOI 10.1007/s10994-008-5076-4 Learning probabilistic logic models from
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A revised comparison of Bayesian logic programs and stochastic logic programs
- , London SW7 2AZ, UK {cjz, shm}@(email omitted); Abstract. Probabilistic logic learning integrates three
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Probabilistic Explanation Based Learning
- of the examples. Probabilistic explanation based learning extends this idea to probabilistic logic representations
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Towards learning stochastic logic programs from proof-banks
- relational learning (SRL), probabilistic logic learning, or probabilistic inductive logic programming
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Multi-Class Prediction Using Stochastic Logic Programs
- are as follows, – PILP approaches based on highly expressive probabilistic logic learning frameworks, eg. SLPs
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A Survey of Reinforcement Learning in Relational Domains
- programming and its recent extension probabilistic logic learning). with means to express probabilities
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Outline
- -dimensional structure / fold. Machine learning approaches: successfully applied. ILP application: explainable logic
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Learning with Kernels and Logical Representations
- . There are several reasons why seeking links between kernel methods and probabilistic logical learning can
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Machine learning metabolic pathway descriptions using a probabilistic relational representation
- Probabilistic Logic Learning methods by answering the following question: Question. Do there exist important
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