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Efficient Variational Inference for Hierarchical Models of Images, Text, and Networks
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Copyright Title

Efficient Variational Inference for Hierarchical Models of Images, Text, and Networks

Status

Published

on 8 May 2020
Year of Creation
2019
Copyright Claimant
Geng Ji
Registration Number
TX0008872665
on 8 May 2020

Copyright Summary


The U.S. Copyright record (Registration Number: TX0008872665) dated 8 May 2020, pertains to an electronic file (eService) titled "Efficient Variational Inference for Hierarchical Models of Images, Text, and Networks" created in 2019. The copyright holder is Geng Ji, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Geng Ji.

Copyright Details


Copyright Claimant
Geng Ji

Application Details


Registration Number
TX0008872665
Registration Date
5/8/2020
Year of Creation
2019
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States

Personal Authors


Notes


Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements


Application Title Statement: Efficient Variational Inference for Hierarchical Models of Images, Text, and Networks
Author Statement: Geng Ji Citizenship: not known Authorship: text
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