论文信息 - MODEL SELECTION VIA META-LEARNING: A COMPARATIVE STUDY

MODEL SELECTION VIA META-LEARNING: A COMPARATIVE STUDY

The selection of an appropriate inducer is crucial for performing effective classification. In previous work we presented a system called NOEMON which relied on a mapping between dataset characteri...

Kalousis Alexandros | Hilario Melanie

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