Research
My research interests focus on Machine Learning
and Probabilistic Modeling. Below is a list of most important
research topics. See also my full list of publications.
Uplift modeling
Model the causal effect of an action by
using treatment and control training datasets.
- Papers
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Numerical computation with random variables
Compute with continuous random
variables like with standard program variables.
More...
- Papers
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- Software
- PaCAL
Finding interesting association rules
Find interesting associations with respect to
background knowledge encoded in a Bayesian network or an HMM.
- Papers
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- Software
- BNInterestingness
AUC maximization
Find coefficients of linear models
by maximizing the Area Under the ROC Curve. Polynomial
expansions are used to make the computation tractable.
- Papers
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- Software
- AUCopt
Association rules with continuous attributes
Mine association rules with continuous attributes without discretization.
- Papers
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- Software
- Pairmining