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...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Fla. :
CRC Press
c2012.
Boca Raton, Fla. : 2012. |
| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC machine learning & pattern recognition series.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628717406719 |
| Sumario: | 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 |
|---|---|
| Notas: | "A Chapman & Hall book." |
| Descripción Física: | 1 online resource (316 p.) |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9780429106507 9781439839287 |
