Search Results for author: Niklas Lavesson

Found 3 papers, 1 papers with code

Hoeffding Trees with nmin adaptation

1 code implementation3 Aug 2018 Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva

In this paper we present the nmin adaptation method for Hoeffding trees.

Is it ethical to avoid error analysis?

no code implementations30 Jun 2017 Eva García-Martín, Niklas Lavesson

Machine learning algorithms tend to create more accurate models with the availability of large datasets.

Computers and Society

Green Accelerated Hoeffding Tree

no code implementations6 May 2022 Eva Garcia-Martin, Albert Bifet, Niklas Lavesson, Rikard König, Henrik Linusson

The results show that GAHT is able to achieve the same competitive accuracy results compared to EFDT and ensembles of Hoeffding trees while reducing the energy consumption up to 70%.

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