Two Projection Pursuit Algorithms for Machine Learning under Non-Stationarity

Details Two Projection Pursuit Algorithms for Machine Learning under Non-Stationarity Two Projection Pursuit Algorithms for Machine Learning under Non-Stationarity

2011-10-04

arxiv.org/abs/1110.0593v1

Computer Science

Learning

Scientific paper

This thesis derives, tests and applies two linear projection algorithms for
machine learning under non-stationarity. The first finds a direction in a
linear space upon which a data set is maximally non-stationary. The second aims
to robustify two-way classification against non-stationarity. The algorithm is
tested on a key application scenario, namely Brain Computer Interfacing.

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