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Visit USCOSupervised Learning and Outlier Detection for High-dimensional Data Using Principal Components
Text Registration
Copyright Title
Supervised Learning and Outlier Detection for High-dimensional Data Using Principal Components
Status
Published
on 5 May 2020
Year of Creation
2020
Copyright Claimant
Lei Ding
Registration Number
TX0008873426
on 5 May 2020Copyright Summary
The U.S. Copyright record (Registration Number: TX0008873426) dated 5 May 2020, pertains to an electronic file (eService) titled "Supervised Learning and Outlier Detection for High-dimensional Data Using Principal Components" created in 2020. The copyright holder is Lei Ding, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Lei Ding.
Application Details
Registration Number
TX0008873426
Registration Date
5/5/2020
Year of Creation
2020
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States
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: Supervised Learning and Outlier Detection for High-dimensional Data Using Principal Components
Author Statement: Lei Ding Citizenship: not known Authorship: text
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