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Beschreibung
In Classification, selection of classifier for data set is difficult. Meta learning automates this process by acquiring knowledge from past experience but generation of meta example is a costly process. So Active Meta Learning can be used which reduces generation of meta examples and at the same time maintaining performance of candidate algorithms. Model presented here provides Ranking using ARR ranking method.
Selection and Ranking of Classifier
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 09. Januar 2015 |
| Maße | 22 cm x 15 cm x 0.5 cm |
| Gewicht | 131 Gramm |
| Format | Softcover |
| ISBN-13 | 9783659547409 |
| Seiten | 76 |