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Boosted Statistical Relational LearnersBoosting (Bi-)Directed Relational Models

Boosted Statistical Relational Learners: Boosting (Bi-)Directed Relational Models [In this chapter, we show the use of functional gradient boosting for learning Relational Dependency Networks (RDNs). The use of several regression trees, instead of just one, results in an expressive model for the conditional distributions of RDNs. We then present a sample set of results that show superior performance when compared to state-of-the-art approaches.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Boosted Statistical Relational LearnersBoosting (Bi-)Directed Relational Models

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-13643-1
Pages
19 –26
DOI
10.1007/978-3-319-13644-8_3
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we show the use of functional gradient boosting for learning Relational Dependency Networks (RDNs). The use of several regression trees, instead of just one, results in an expressive model for the conditional distributions of RDNs. We then present a sample set of results that show superior performance when compared to state-of-the-art approaches.]

Published: Mar 4, 2015

Keywords: Conditional Distribution; Regression Tree; Conditional Random Field; Conditional Probability Distribution; Dependency Network

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