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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Papers overview

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2014
2014
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
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
We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a… (More)
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2009
2009
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
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 analyzes the probabilistic constraints between the entities, their attributes and relationships… (More)
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2004
2004
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
Link predictionis a complex, inherentlyrelational, task. Be it in the domain of scientific citations, social networks or… (More)
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2003
2003
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
We do statistical relational learning by incrementally ext racting data from a relational database, and computing features of… (More)
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