no code implementations • 30 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
no code implementations • 6 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%.
1 code implementation • 3 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.