Paper data
Title:
A classifier based on normalized maximum likelihood model for classes of Boolean regression models Author(s): Tabus Ioan, Tampere University of Technology Rissanen Jorma, Tampere University of Technology Astola Jaakko, Tampere University of Technology Page numbers in the proceedings: Volume I pp 119-122 Session: Pattern Recognition and Classification
Paper abstract
Boolean regression models are useful tools for various applications in nonlinear filtering, nonlinear prediction, classification and clustering. We discuss here the so-called normalized maximum likelihood (NML) models for these classes of models. Examples of discrimination of cancer types by using the universal NML model for the Boolean regression models indicate its ability to select sets of feature genes discriminating at error rates significantly smaller than those of other discrimination methods.
Paper
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