Probability estimate for K-nearest neighbor

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C706S025000, C706S048000

Reexamination Certificate

active

07451123

ABSTRACT:
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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