Probability estimate for K-nearest neighbor

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United States of America Patent

PATENT NO 7016884
APP PUB NO 20040002931A1
SERIAL NO

10183213

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Systems and methods are disclosed that facilitate producing probabilistic outputs also referred to as posterior probabilities. The probabilistic outputs include an estimate of classification strength. The present invention intercepts non-probabilistic classifier output and applies a set of kernel models based on a softmax function to derive the desired probabilistic outputs. Such probabilistic outputs can be employed with handwriting recognition where the probability of a handwriting sample classification is combined with language models to make better classification decisions.

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Patent Owner(s)

Patent OwnerAddress
MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

International Classification(s)

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Burges, Christopher J C Bellevue, WA 29 686
Platt, John C Bellevue, WA 133 10416

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