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portada classifier learning for imbalanced data
classifier learning for imbalanced dataclassifier learning for imbalanced dataclassifier learning for imbalanced data
Type
Physical Book
Publisher
Author
Pages
184
ISBN
3836492237
ISBN13
9783836492232
Categories

classifier learning for imbalanced data

Ute Schmid (Author) · vdm verlag dr. mueller e.k. · Physical Book

classifier learning for imbalanced data - ute schmid

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Synopsis "classifier learning for imbalanced data"

this work discusses the theoretical abilities of three commonly used classifier learning methods and optimization techniques to cope with characteristics of real-world classification problems, more specifically varying misclassification costs, imbalan ...

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