Generalized Linear Rule Models

Oktay Günlük
Oktay Günlük

international conference on machine learning, 2019.

Cited by: 6|Views18
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Abstract:

This paper considers generalized linear models using rule-based features, also referred to as rule ensembles, for regression and probabilistic classification. Rules facilitate model interpretation while also capturing nonlinear dependences and interactions. Our problem formulation accordingly trades off rule set complexity and predictio...More

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