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Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at...
Abstract When large multivariate datasets are analyzed, it is often desirable to reduce their dimensionality. Principal component analysis is one technique for doing this. It re...
Functional analysis of large gene lists, derived in most cases from emerging high-throughput genomic, proteomic and bioinformatics scanning approaches, is still a challenging an...
Among the most widely cited books in the social sciences, The External Control of Organizations has long been required reading for any student of organization studies. The book,...
This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded covera...
A cluster of risk factors for cardiovascular disease and type 2 diabetes mellitus, which occur together more often than by chance alone, have become known as the metabolic syndr...
Abstract We present here a framework for the study of molecular variation within a single species. Information on DNA haplotype divergence is incorporated into an analysis of va...
Journal Article Markets and Hierarchies: Analysis and Antitrust Implications Get access Markets and Hierarchies: Analysis and Antitrust Implications. By O. E. WILLIAMSON. (Londo...
I actually own a copy of Harold Jeffreys’s Theory of Probability but have only read small bits of it, most recently over a decade ago to confirm that, indeed, Jeffreys was not t...
Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analys...
Ann M. Carracher, Payal H. Marathe, and Kelly L. Close are of Close Concerns ( http://www.closeconcerns.com ), a healthcare information company focused exclusively on diabetes a...