Greedy active learning for reducing labeled data imbalances

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United States of America Patent

PATENT NO 11138523
APP PUB NO 20180032900A1
SERIAL NO

15220895

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Abstract

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A method, system and computer-usable medium are disclosed for reducing labeled data imbalances when training an active learning system. The ratio of instances having positive labels or negative labels in a collection of labeled instances associated with an input category used for learning is determined. A first instance for annotation is selected from a collection of unlabeled instances if a first threshold for negative instances, and a first threshold confidence level of being a positive instance of the input category, have been met. A second instance for annotation is selected if a second threshold for positive instances, and a second threshold confidence level of being a negative instance of the input category, have been met. The first and second instances are respectively annotated with a positive and negative label and added to the collection of labeled instances, which are then used for training.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chowdhury, Md Faisal M Corona, US 7 34
Dash, Sarthak Jersey City, US 13 22
Gliozzo, Alfio M Brooklyn, US 20 513

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