Santa Clara / Cambridge / Seatle / London / New York / /
Company
Oxford University Press / Affymetrix Inc. / Neural Information Processing Systems / Neural Networks / MIT Press / Kendall / Microsoft / /
Country
Jordan / /
Currency
pence / / /
Facility
Information Science University of Pennsylvania Moore School Building / Kendall’s Library of Satistics / /
IndustryTerm
than completely general algorithms / Web Log / iterative algorithm / gene chip / real world applications / Web Data The / EM algorithms / Web Database / predictive algorithms / automated recommender systems / but powerful tool / /
Organization
Royal Statistical Society / National Institute of Health / Binary Data Andrew I. Schein Lawrence K. Saul Lyle H. Ungar Department of Computer / MIT / University of Pennsylvania Moore School Building / Oxford University / /
Person
Lawrence K. Saul / Component Ad Non−Ad / Andrew Schein / Lyle H. Ungar / Component Ad / Andrew I. Schein Lawrence / K. Saul Lyle / /
Position
Generalized Linear Model for Principal Component Analysis / /
ProgrammingLanguage
L / /
ProvinceOrState
New York / Massachusetts / Washington / /
PublishedMedium
Journal of the Royal Statistical Society / Machine Learning / Molecular Biology / /
A Generalized Linear Model for Principal Component Analysis of Binary Data Andrew I. Schein Lawrence K. Saul Lyle H. Ungar Department of Computer and Information Science University of Pennsylvania