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Boosted Statistical Relational LearnersBoosting Undirected Relational Models

Boosted Statistical Relational Learners: Boosting Undirected Relational Models [Having presented the outline of functional gradient based learning of Relational Dependency Networks in the previous chapter, we turn our focus to learning undirected SRL models. More precisely, we adapt the algorithm for learning the popular formalism of Markov Logic Networks. We derive the gradients in this case and present empirical evidence to demonstrate the efficacy of this approach.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Boosted Statistical Relational LearnersBoosting Undirected Relational Models

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-13643-1
Pages
27 –38
DOI
10.1007/978-3-319-13644-8_4
Publisher site
See Chapter on Publisher Site

Abstract

[Having presented the outline of functional gradient based learning of Relational Dependency Networks in the previous chapter, we turn our focus to learning undirected SRL models. More precisely, we adapt the algorithm for learning the popular formalism of Markov Logic Networks. We derive the gradients in this case and present empirical evidence to demonstrate the efficacy of this approach.]

Published: Mar 4, 2015

Keywords: Joint Model; Horn Clause; Markov Network; Functional Gradient; Markov Blanket

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