Cost-sensitive machine learning:

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/att...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere beteiligte Personen: Krishnapuram, Balaji (MitwirkendeR), Yu, Shipeng (MitwirkendeR), Rao, Bharat (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Boca Raton, FL CRC Press 2012
Schriftenreihe:Chapman & Hall/CRC machine learning & pattern recognition series
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781439839287/?ar
Zusammenfassung:In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collectionCost of incorrect prediction/classificationCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost o.
Beschreibung:Includes bibliographical references. - Print version record
Umfang:1 Online-Ressource illustrations
ISBN:9781439839287
143983928X
9781466548176
1466548177