Multi-Target Prediction with Trees and Tree Ensembles

author: Sašo Džeroski, Department of Intelligent Systems, Jožef Stefan Institute
published: June 28, 2019,   recorded: May 2019,   views: 57
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Description

Increasingly often, we need to learn predictive models from big or complex data, which may comprise many examples and many input/output dimensions. When more than one target variable has to be predicted, we talk about multi-target prediction. Predictive modeling problems may also be complex in other ways, e.g., they may involve incompletely/partially labelled data, as in semi-supervised learning, or data placed in a network context. The talk will first give an introduction to the different tasks of multi-target prediction, such as multi-target classification and regression, hierarchical versions thereof, and versions of the tasks that involve additional complexity (such as semi-supervised multi-target regression and network-based hierarchical multi-label classification). It will continue to present methods for solving such tasks, in particular predictive clustering trees and ensembles thereof. Finally, it will present example applications of multi-target prediction in the life sciences, focusing on predictive modeling in virtual compound screening for drug repurposing.

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Reviews and comments:

Comment1 fredluis, October 9, 2019 at 7:26 a.m.:

There is a lot of new information coming to light and it would be useful if you could give some updates since your opinion is so valued. https://www.montgomerytreecare.com


Comment2 Claire Smith, November 22, 2019 at 3:03 a.m.:

regression trees, tree ensembles random forests, bagging and ... and in particular their instantiation for predicting multiple targets. https://www.bathroomrenovationscentra...


Comment3 Silver Reyes, December 6, 2019 at 5:03 p.m.:

https://www.bathroomrenovationssunshi... which combine tree models and linear functions. ... multi-target prediction, rule learning, and rule ensembles

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