5 citations · 10 across the 5 of their papers we have counts for
4 papers · 1 filter
SAM-kNN Regressor for Online Learning in Water Distribution Networks
Jonathan Jakob, André Artelt, Martina Hasenjäger +1
Water distribution networks are a key component of modern infrastructure for housing and industry. They transport and distribute water via widely branched networks from sources to…
Analysis of Drifting Features
Fabian Hinder, Jonathan Jakob, Barbara Hammer
The notion of concept drift refers to the phenomenon that the distribution, which is underlying the observed data, changes over time. We are interested in an identification of thos…
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder +3
Advances in machine learning technologies have led to increasingly powerful models in particular in the context of big data. Yet, many application scenarios demand for robustly int…
Feature Relevance Bounds for Ordinal Regression
Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl +2
The increasing occurrence of ordinal data, mainly sociodemographic, led to a renewed research interest in ordinal regression, i.e. the prediction of ordered classes. Besides model…