Metadata language
Książka = Book ; KS/3/2012/T1P[9]
Creator:Grzegorzewski, Przemysław (1963– ) ; Ostrycharz, Małgorzata
Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:[6], 129-141 pages ; 21 cm ; Bibliography p. 140-141
Type of object: Abstract:Importance of feature selection techniques in multidimensional data analysis is nowadays beyond doubt. It is especially so in such learning tasks which are characterized by a very high dimensionality and a low number of learning examples. An alternative approach to well known and commonly used selection methods (e.g. backward, forward, stepwise) is to use the Akaike Information Criterion (AIC) for feature selection investigating the whole feature set simultaneously. An experimental approach to feature selection suggested in the paper is based on so-called AIC Improvement Matrices, which describe the situation in the whole feature set. Besides paying attention to AIC selection algorithms refer also to correlation between features in the data set.
Relation: Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Creative Commons Attribution BY 4.0 license
Terms of use:Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Digitizing institution:Systems Research Institute of the Polish Academy of Sciences
Original in:Library of Systems Research Institute PAS
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