Università degli Studi di Roma 3 ArcA diA
Archivio Aperto di Ateneo

ArcAdiA >
Tipologia di Documenti >
T - Tesi di dottorato >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2307/5236

Title: Supervised classification methods:from cross validation to forward search approach
Authors: Mazza, Sabina
Keywords: staking
Issue Date: 6-Jun-2012
Publisher: Università degli studi Roma Tre
Abstract: Most of the research on ensembles of classifiers tends to demonstrate that Stacking learning scheme (Wolpert (1992), Ting and Witten (1999), Seewald (2002)) can perform comparably to the best of the base classifiers as selected by cross-validation, if not better. It is to be hoped that we can expect that the final classifier produced by Stacking is able to achieve better performances in terms of accuracy than the best level-0 classifier. Otherwise the computational onus created by the complexity
URI: http://hdl.handle.net/2307/5236
Access Rights: info:eu-repo/semantics/openAccess
Appears in Collections:Dipartimento di Economia
T - Tesi di dottorato

Files in This Item:

File Description SizeFormat
Tesi_SMazza_Supervised Classification Methods.pdf2.01 MBAdobe PDF

This item is protected by original copyright

Recommend this item

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Università degli Studi RomaTre SBA - Sistema Bibliotecario di Ateneo ICT support by CINECA