An effective procedure for feature subset selection in logistic regression based on information criteria

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1573-2894

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: An effective procedure for feature subset selection in logistic regression based on information criteria ; volume:80 ; number:1 ; day:17 ; month:6 ; year:2021 ; pages:1-32 ; date:9.2021
Computational optimization and applications ; 80, Heft 1 (17.6.2021), 1-32, 9.2021

Creator: Civitelli, Enrico
Lapucci, Matteo
Schoen, Fabio
Sortino, Alessio

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10589-021-00288-1

URN: urn:nbn:de:101:1-2021102821444336682338

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Civitelli, Enrico
Lapucci, Matteo
Schoen, Fabio
Sortino, Alessio
SpringerLink (Online service)

Other Objects (12)

Logistic Regression in Datastreams

Robust functional logistic regression

Logistic regression applied to natural hazards: rare event logistic regression with replications

Arbeitspapier

Measuring overlap in logistic regression

Arbeitspapier

The Origins of Logistic Regression

Arbeitspapier

The hidden logistic regression model

Privacy-preserving logistic regression training

Measuring overlap in logistic regression

The hidden logistic regression model

Logistic Regression for Prospectivity Modeling

Logistic regression for potential modeling

Logistic regression : a self-learning text

Logistic Regression in Datastreams

Robust functional logistic regression

Logistic regression applied to natural hazards: rare event logistic regression with replications

Arbeitspapier

Measuring overlap in logistic regression

Arbeitspapier

The Origins of Logistic Regression

Arbeitspapier

The hidden logistic regression model

Privacy-preserving logistic regression training

Measuring overlap in logistic regression

The hidden logistic regression model

Logistic Regression for Prospectivity Modeling

Logistic regression for potential modeling

Logistic regression : a self-learning text

Logistic Regression in Datastreams

Robust functional logistic regression

Logistic regression applied to natural hazards: rare event logistic regression with replications

Arbeitspapier

Measuring overlap in logistic regression

Arbeitspapier

The Origins of Logistic Regression

Arbeitspapier

The hidden logistic regression model

Privacy-preserving logistic regression training

Measuring overlap in logistic regression

The hidden logistic regression model

Logistic Regression for Prospectivity Modeling

Logistic regression for potential modeling

Logistic regression : a self-learning text

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

An effective procedure for feature subset selection in logistic regression based on information criteria

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Logistic Regression in Datastreams

Robust functional logistic regression

Logistic regression applied to natural hazards: rare event logistic regression with replications

Measuring overlap in logistic regression

The Origins of Logistic Regression

The hidden logistic regression model

Privacy-preserving logistic regression training

Measuring overlap in logistic regression

The hidden logistic regression model

Logistic Regression for Prospectivity Modeling

Logistic regression for potential modeling

Logistic regression : a self-learning text

Logistic Regression in Datastreams

Robust functional logistic regression

Logistic regression applied to natural hazards: rare event logistic regression with replications

Measuring overlap in logistic regression

The Origins of Logistic Regression

The hidden logistic regression model

Privacy-preserving logistic regression training

Measuring overlap in logistic regression

The hidden logistic regression model

Logistic Regression for Prospectivity Modeling

Logistic regression for potential modeling

Logistic regression : a self-learning text

Logistic Regression in Datastreams

Robust functional logistic regression

Logistic regression applied to natural hazards: rare event logistic regression with replications

Measuring overlap in logistic regression

The Origins of Logistic Regression

The hidden logistic regression model

Privacy-preserving logistic regression training

Measuring overlap in logistic regression

The hidden logistic regression model

Logistic Regression for Prospectivity Modeling

Logistic regression for potential modeling

Logistic regression : a self-learning text

Related objects

Reset password