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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Classification on Be stars using feature extraction based on discrete wavelet transform
 Bromová, P. ; Bařina, D. ; Škoda, Petr ; Vážný, Jaroslav ; Zendulka, J.
We describe the initial experiments in the field of automated classification of spectal line profiles of emission line stars.
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Robustness Aspects of Knowledge Discovery
 Kalina, Jan
The sensitivity of common knowledge discovery methods to the presence of outlying measurements in the observed data is discussed as their major drawback. Our work is devoted to robust methods for information extraction from data. First, we discuss neural networks for function approximation and their sensitivity to the presence of noise and outlying measurements in the data. We propose to fit neural networks in a robust way by means of a robust nonlinear regression. Secondly, we consider information extraction from categorical data, which commonly suffers from measurement errors. To improve its robustness properties, we propose a regularized version of the common test statistics, which may find applications e.g. in pattern discovery from categorical data.
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