Marcel Wever

LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification

2020 · Lecture notes in computer science

In multi-label classification (MLC), each instance is associated with a set of class labels, in contrast to standard classification, where an instance is assigned a single label. Binary relevance (BR) learning, which reduces a multi-label …

Replacing the Ex-Def Baseline in AutoML by Naive AutoML

2021 · Open access LMU (Ludwid Maxmilian's Universitat Munchen)

Automated Machine Learning (AutoML) is the problem of automatically finding the pipeline with the best generalization performance on some given dataset. AutoML has received enormous attention in the last decade and has been addressed with …