Probst
- Philipp Probst
- Brief CV
- Research Areas
- Teaching Activities
- Publications
- Statistical Learning/Machine Learning
- Tree-based Methods (e.g. Random Forest)
- Ensemble Methods (e.g. Bagging, Boosting, Stacking)
- Parametersettings and -tuning of Machine Learning Algorithms
- Selection of Benchmark Datasets
- Benchmark experiments
- Multitarget Problems and Multilabel Classification
- Quantile, Distribution and Density Estimation with Tree-based Methods
- Computational Aspects of Machine Learning
- Statistical Software Development (R, Python, Matlab, SAS, SQL, ...)