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Evolving groups of basic decision treesŠprogar, Matej ...Decision tree is a good classifier with transparent decision mechanism. Decision tree building methods usually have problems because of the nature of the tree to split the learning samples to more ... subsets. If the classification for such a subset is not possible it's better to put off the decision on classification to some other classifier. This leads to introduction of a null classification which simply means that no classification is possible in this step. This approach is sensible with evolutionary methods as they can handle a number of trees simultaneously. In the process of construction we have to adress the problem if a classification is sensible. Performance of the proposed model has been tested on several datasets and presented results on such dataset show its potential.Vir: Proceedings (Str. 183-188)Vrsta gradiva - prispevek na konferenciLeto - 2001Jezik - angleškiCOBISS.SI-ID - 6469654
Avtor
Šprogar, Matej |
Kokol, Peter, 1957- |
Zorman, Milan |
Podgorelec, Vili, 1972- |
Lhotska, Lenka |
Klema, Jiří
Teme
odločitvena drevesa |
odločitveni mehanizmi |
klasificiranje podatkov |
genetski algoritmi |
evolucijske metode |
strojno učenje |
decision trees |
decision mechanism |
data classifications |
genetic algorithms |
evolutionary methods |
machine learning
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Šprogar, Matej | 20199 |
Kokol, Peter, 1957- | 03782 |
Zorman, Milan | 17876 |
Podgorelec, Vili, 1972- | 16304 |
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