1.

Record Nr.

UNISA990003641650203316

Autore

MILA, Massimo

Titolo

Compagno Strawinsky / Massimo Mila

Pubbl/distr/stampa

Milano : RCS libri, 2012

ISBN

978-88-17-05454-6

Descrizione fisica

IX, 258 p., [4] carte di tav. : ill. ; 20 cm

Collana

BUR , Saggi

Disciplina

780.92

Soggetti

Stravinskij, Igor

Collocazione

XIII.3.D. 495

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910799907903321

Titolo

Cost-sensitive machine learning / / edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao

Pubbl/distr/stampa

Boca Raton, Fla. : , : CRC Press, , 2012

ISBN

0-429-10650-5

1-4398-3928-X

Edizione

[1st edition]

Descrizione fisica

1 online resource (316 p.)

Collana

Chapman & Hall/CRC machine learning & pattern recognition series

Altri autori (Persone)

KrishnapuramBalaji

YuShipeng

RaoBharat

Disciplina

006.31

Soggetti

Machine learning - Cost effectiveness

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"A Chapman & Hall book."

Nota di bibliografia

Includes bibliographical references.



Nota di contenuto

pt. 1. Theoretical underpinnings of cost-sensitive machine learning -- pt. 2. Cost-sensitive machine learning applications.

Sommario/riassunto

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