Simple and Composed Classifiers Used for Classification of Experimental Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F08%3A23982" target="_blank" >RIV/60460709:41110/08:23982 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Simple and Composed Classifiers Used for Classification of Experimental Data
Original language description
Problems of classification has a great meaning at the handling of information. Statistical approaches, decision trees and approaches of artificial intelligence (sphere of neuron network) belong to standard methods of classification. This paper deals withsimple classifiers knearest neighbors, Bayesian classifier, decision tree and also with composed classifiers ? Bagging, Boosting and Stacked Generalization applied on experimental data sets.
Czech name
Použití jednoduchých a složených klasifikátorů
Czech description
Problems of classification has a great meaning at the handling of information. Statistical approaches, decision trees and approaches of artificial intelligence (sphere of neuron network) belong to standard methods of classification. This paper deals withsimple classifiers knearest neighbors, Bayesian classifier, decision tree and also with composed classifiers ? Bagging, Boosting and Stacked Generalization applied on experimental data sets.

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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