The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 9349105 B1

PDF
Full Text
Expired
Date of Patent:
May. 24, 2016

Filed:

Dec. 18, 2013
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

David J. Beymer, San Jose, CA (US);

Karen W. Brannon, Palo Alto, CA (US);

Ting Chen, Sunnyvale, CA (US);

Moritz A. W. Hardt, Menlo Park, CA (US);

Ritwik K. Kumar, Sunnyvale, CA (US);

Tanveer F. Syeda-Mahmood, Cupertino, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06N 99/00 (2010.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01);
Abstract

Machine learning solutions compensate for data missing from input (training) data and thereby arrive at a predictive model that is based upon, and consistent with, the training data. The predictive model can be generated within a learning algorithm framework by transforming the training data to generate modality or similarity kernels. Similarity values can be generated for these missing similarity values.


Find Patent Forward Citations

Beymer, David. (2016). Machine learning with incomplete data sets (U.S. Patent No. 9349105). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/9349105

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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