Back to Results
First PageMeta Content
Categorical data / Statistical models / Computational neuroscience / Logistic regression / Dummy variable / Logit / Neural network / Forecasting / Book:Machine Learning - The Complete Guide / Statistics / Econometrics / Regression analysis


American Political Science Review Vol. 98, No. 2 May 2004
Add to Reading List

Document Date: 2013-01-02 17:53:03

Open Document

File Size: 111,32 KB

Share Result on Facebook

City

River / New Haven / Ithaca / /

Company

Oxford University Press / Princeton University Press / Neural Networks / Yale University Press / Cornell University Press / /

/

Facility

Duke University / University Ave. / University of Chicago / /

IndustryTerm

hill-climbing algorithm / /

Organization

Duke University / Department of Political Science / University of Chicago / International Organization / Princeton University / Oxford University / Yale University / Cornell University / Duke University / Durham / /

Person

Jack Snyder / Paul Huth / David Lalman / Allan Stam / D. Scott / CHRISTOPHER GELPI / Edward / Dan Reiter / Bruce M. Russett / Gary King / Bennett / Robert L. Winkler / Beck / Langche Zeng / Robert Keohane / Nathaniel / Zeev / Sidney Verba / SCOTT DE MARCHI / Christopher Gelphi / Jeffrey D. Grynaviski / /

/

Position

King / King / and Langche Zeng / Bishop / interactive / nonlinear model / the relationship / Assistant Professor / general linear model for testing their competing arguments / researcher / Fisher / hypothetical researcher / Associate Professor / /

ProgrammingLanguage

MATLAB / /

PublishedMedium

Journal of Peace Research / World Politics / American Political Science Review / /

Technology

hill-climbing algorithm / neural network / /

SocialTag