WT3.9 – Workshop on Solving Classification Problems Embedded in the Nature of Data
Task Leader: Bartosz Krawczyk, email@example.com
ENGINE research areas: A1, B1, B2
Duration: 1 day
Estimated no. of participants: 20
No. of events: 1
During The World Congress on Nature and Biologically Inspired Computing (NABIC) conference. One of the main challenges for the machine learning algorithms are problems arising from the nature of the data itself. Such problems as high dimensionality of the feature space, small availability of the training patterns, class and feature noise, unbalanced class distribution etc. have a major negative impact on the overall predictive accuracy of pattern recognition systems. Therefore introducing new methodologies, ranging from separate data pre-processing methods to approaches embedded in the classifiers is of primary interest to the field. The aim of this workshop is to provide a forum to exchange new theoretical ideas and practical implementations in this field. It will be organised in connection with major European conference concentrated on artificial intelligence and pattern recognition (e.g. The World Congress on Nature and Biologically Inspired Computing). This will allow, for three members of ENGINE, to present the Centre and their research and to learn and discuss the cutting-edge techniques in processing of difficult data while meeting other experts in the field.
The workshop will span through 2 sessions (5 presentation each). There will be a short presentation of the ENGINE Centre at the beginning of each session. For 10 best papers, the ENGINE Centre will reimburse the conference registration fee, if their authors present the paper during the workshop and will participate in the discussion. For all participants of the conference and the ENGINE Centre staff members, the workshop will be free of charge.