Oliver Sampson

According to our database, Oliver Sampson authored at least 6 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Widened Machine Learning with Application to Bayesian Networks

Oliver R. Sampson

PhD thesis, 2020

2019

Widened Learning of Index Tracking Portfolios.

Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors.

Oliver R. Sampson, Christian Borgelt, Michael R. Berthold

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2016

Widened Learning of Bayesian Network Classifiers.

Oliver R. Sampson, Michael R. Berthold

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Prediction of Failures in the Air Pressure System of Scania Trucks Using a Random Forest and Feature Engineering.

Christopher Gondek, Daniel Hafner, Oliver R. Sampson

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2014

Widened KRIMP: Better Performance through Diverse Parallelism.

Oliver Sampson, Michael R. Berthold

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014