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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… 
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Papers overview

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2017
2017
We present a new statistical relational learning (SRL) framework that supports reasoning with soft quantifiers, such as “most… 
Review
2014
Review
2014
This chapter presents background on SRL models on which our work is based on. We start with a brief technical background on first… 
Review
2013
Review
2013
  • H. Blockeel
  • 2013
  • Corpus ID: 34343661
Relational learning refers to learning from data that have a complex structure. This structure may be either internal (a data… 
2008
2008
We address the learning of trust based on past observations and context information. We argue that from the truster's point of… 
2008
2008
Sampling-based nonholonomic and kinodynamic planning iteratively constructs solutions with sampled controls. A constructed… 
2003
2003
The methyl, ethyl, n-propy, 2-(acetylamino)ethyl, or 1-(2,3-dihydroxy)propyl ester of E-(3R,5S)-7-(4'-fluoro-3,3',5-trimethyl[1,1… 
2003
2003
An important property of PRM roadmaps is that they provide a good approximation of the connectivity of the free C-space. We… 
Highly Cited
2001
Highly Cited
2001
We propose an approach for building and querying probabilistic roadmaps. In the roadmap construction stage, we build coarse…