Lukasz Konarski

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This work presents a comparative study of methods for building predictive models from data in high dimensionality spaces, i.e. where the number of features describing items to be classified is high as compared with the available number of items used to build the model and test its predictive performance. Application of such methods may be quite diverse,(More)
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