Text

Ensemble Methods : Foundations and Algorithms. Second Edition

Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known machine learning approaches. It has become common sense that an ensemble is usually significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.

Availability

Detail Information

Series Title

Chapman & Hall/CRC machine learning & pattern recognition

Call Number

519.535 Zho e

Publisher

Boca Raton, FL : Chapman and Hall/CRC., 2025

Collation

xv, 347 p. ; 24 cm.

Language

English

ISBN/ISSN

9781032960609

Classification

519.535

Content Type

-

Media Type

-

Carrier Type

-

Edition

Second Edition

Subject(s)

Mathematical analysis
Multiple comparisons (Statistics)
Set theory

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment