Info

 PhD, Assistant Professor at Institute of Computing Science at the Poznan University of Technology.

My research interests include machine learning, especially cost-efficient feature selection. The costs of acquiring feature values of classified objects (test costs) are considered. These costs can be reduced by feature selection. Standard approaches to feature selection select a common subset of features for all classified objects (a global approach). An alternative approach is to select a feature set for each classified object separately (a local approach; a feature selection in the context of a classified object). Such a local approach is sequential classification. The aim of our work is to develop sequential classification based feature selection algorithms.

See my profile at Google Scholar