15–19 Sept 2024
Leuven, Belgium
Europe/Berlin timezone

Session

Machine learning 2

17 Sept 2024, 09:00
Leuven, Belgium

Leuven, Belgium

Janseniusstraat 1, 3000 Leuven

Conveners

Machine learning 2

  • Véronique Maume-Deschamps (Institut Camille Jordan, Université Claude Bernard Lyon 1)

Presentation materials

There are no materials yet.

  1. Jakob Raymaekers (University of Antwerp)
    17/09/2024, 09:00
    Machine Learning

    Linear model trees are regression trees that incorporate linear models in the leaf nodes. This preserves the intuitive interpretation of decision trees and at the same time enables them to better capture linear relationships, which is hard for standard decision trees. But most existing methods for fitting linear model trees are time consuming and therefore not scalable to large data sets. In...

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  2. Julie Keisler (EDF R&D)
    17/09/2024, 09:20
    Machine Learning

    This work formulates model selection as an infinite-armed bandit problem, namely, a problem in which a decision maker iteratively selects one of an infinite number of fixed choices (i.e., arms) when the properties of each choice are only partially known at the time of allocation and may become better understood over time, via the attainment of rewards.
    Here, the arms are machine learning...

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