Ensemble classification methods with applications in R. (2019)

• Record Type: Book
• Further Information: Note: Edited by Esteban Alfaro, Matías Gámez and Noelia García.
• Editors: Alfaro, Esteban, 1977-; Gámez, Matías, 1966-; García, Noelia, 1973-
• Contents: Limitation of the individual classifiers -- Ensemble classifiers methods -- Classification with individual and ensemble trees in R -- Bankrupcty prediction through ensemble trees -- Experiments with adabag in biology classification tasks -- Generalization bounds for ranking algorithms -- Classification and regression trees for analysing irrigation decisions -- Boosted rule learner and its properties -- Credit scoring with individuals and ensemble trees -- An overview of multiple classifier systems based on Generalized Additive Models.
• Publisher Details: Hoboken, NJ : John Wiley & Sons, Inc
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource (xix, 200 pages)
• Subjects: 006.3/1; Machine learning -- Statistical methods; R (Computer program language); COMPUTERS / General; Machine learning -- Statistical methods; R (Computer program language); Electronic books
• Languages: English
• ISBNs: 9781119421573; 1119421578; 9781119421559; 1119421551
• Related ISBNs: 9781119421092
• Notes: Note: Includes bibliographical references and index.; Note: Description based on online resource; title from digital title page (viewed on October 17, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.