Machine learning with incomplete data sets

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United States of America Patent

PATENT NO 9349105
APP PUB NO 20150170055A1
SERIAL NO

14133193

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
INTERNATIONAL BUSINESS MACHINES CORPORATIONNEW ORCHARD ROAD ARMONK NY 10504

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Beymer, David J San Jose, US 21 264
Brannon, Karen W Palo Alto, US 15 505
Chen, Ting Sunnyvale, US 193 4117
Hardt, Moritz A W Menlo Park, US 2 62
Kumar, Ritwik K Sunnyvale, US 15 159
Syeda-Mahmood, Tanveer F Cupertino, US 81 1607

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