Towards Learning with High Causal Fidelity from Longitudinal Event Data

Status

Published

on 24 Oct 2019

Year of Creation

2018

Zhaobin Kuang

Registration Number

TX0008803134

on 24 Oct 2019

The U.S. Copyright record (Registration Number: TX0008803134) dated 24 Oct 2019, pertains to an electronic file (eService) titled "Towards Learning with High Causal Fidelity from Longitudinal Event Data" created in 2018. The copyright holder is Zhaobin Kuang, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Zhaobin Kuang.

Zhaobin Kuang

Application Details

Registration Number

TX0008803134

Registration Date

10/24/2019

Year of Creation

2018

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Zhaobin Kuang

Notes

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

Statements

Application Title Statement: Towards Learning with High Causal Fidelity from Longitudinal Event Data

Author Statement: Zhaobin Kuang Citizenship: not known Authorship: text

Notes

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

Statements

Application Title Statement: Towards Learning with High Causal Fidelity from Longitudinal Event Data

Author Statement: Zhaobin Kuang Citizenship: not known Authorship: text

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