z-logo
open-access-imgOpen Access
Development of Integrated Choice and Latent Variable (ICLV) Models Using Matrix-Based Analytic Approximation and Automatic Differentiation Methods on TensorFlow Platform
Author(s) -
Jie Ma,
Xin Ye,
Kun Huang
Publication year - 2022
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2022/6556282
Subject(s) - bivariate analysis , computer science , latent variable , automatic differentiation , matrix (chemical analysis) , multinomial probit , multinomial distribution , mathematical optimization , mathematics , statistics , algorithm , probit model , artificial intelligence , machine learning , materials science , composite material , computation

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom