Learning first-order probabilistic models with combining rules
type: Item
instance of: scholarly article
title: Learning first-order probabilistic models with combining rules
zbMATH Open document ID: 1178.68448
author: Sriraam Natarajan
author: Prasad Tadepalli
author: Thomas G. Dietterich
author: Alan Fern
published in: Annals of Mathematics and Artificial Intelligence
publication date: 2009-09-18T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 03B48
zbMATH DE Number: 5604830
zbMATH Keywords: predicate logic
zbMATH Keywords: multi-level combining rules
describes a project that uses: MEBN
MaRDI profile type: Publication
full work available at URL: s10472-009-9138-5
OpenAlex ID: W2065606385
cites work: Adaptive probabilistic networks with hidden variables
cites work: Q4139463
cites work: Efficient computation for the noisy MAX
cites work: Inductive Logic Programming
cites work: PRL: a probabilistic relational language
cites work: Q3510469
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Q4936134
cites work: Q4796150
cites work: MEBN: a language for first-order Bayesian knowledge bases
cites work: A Relational Hierarchical Model for Decision-Theoretic Assistance
cites work: Probabilistic Horn abduction and Bayesian networks
cites work: Q4533365
cites work: Noisy-or classifier
DOI: 10.1007/S10472-009-9138-5
description: scientific article; zbMATH DE number 5604830