Statistical relational learning

Known as: SRL, PRM, Probabilistic relational model 
Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that… (More)
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Artificial intelligenceAssociation rule learningBayesian networkCluster analysis
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Computational statisticsMachine learning

Papers overview

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2014
2014
Statistical Relational Learning to Recognise Textual Entailment
We propose a novel approach to recognise textual entailment (RTE) following a two-stage architecture – alignment and decision… (More)
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2010
2010
Statistical relational learning of trust
The learning of trust and distrust is a crucial aspect of social interaction among autonomous, mentally-opaque agents. In this… (More)
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2009
2009
Statistical Relational Learning with Formal Ontologies
We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a… (More)
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2009
2009
An exercise with statistical relational learning systems
We report on two exercises in modeling, inference and learning with seven statistical relational learning systems and use this as… (More)
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Highly Cited
2007
Highly Cited
2007
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including… (More)
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2007
2007
Statistical relational learning with nonparametric Bayesian models
Statistical relational learning analyzes the probabilistic constraints between the entities, their attributes and relationships… (More)
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2004
2004
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in… (More)
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Highly Cited
2003
Highly Cited
2003
Statistical Relational Learning for Link Prediction
Link predictionis a complex, inherentlyrelational, task. Be it in the domain of scientific citations, social networks or… (More)
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2003
2003
Statistical Relational Learning for Document Mining
A majorobstacleto fully integrateddeployment of many data mining algorithms is the assumptionthat data sits in a single table… (More)
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2003
2003
Statistical Relational Learning at U Penn
We do statistical relational learning by incrementally ext racting data from a relational database, and computing features of… (More)
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