3 papers
cs.LG2022
Green Accelerated Hoeffding Tree
Eva Garcia-Martin, Albert Bifet, Niklas Lavesson +2
State-of-the-art machine learning solutions mainly focus on creating highly accurate models without constraints on hardware resources. Stream mining algorithms are designed to run…
cs.LG2018
Hoeffding Trees with nmin adaptation
Eva García-Martín, Niklas Lavesson, Håkan Grahn +2
Machine learning software accounts for a significant amount of energy consumed in data centers. These algorithms are usually optimized towards predictive performance, i.e. accuracy…
cs.CY2017
Is it ethical to avoid error analysis?
Eva García-Martín, Niklas Lavesson
Machine learning algorithms tend to create more accurate models with the availability of large datasets. In some cases, highly accurate models can hide the presence of bias in the…