发明名称 |
Probability estimate for K-nearest neighbor |
摘要 |
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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申请公布号 |
US2004002931(A1) |
申请公布日期 |
2004.01.01 |
申请号 |
US20020183213 |
申请日期 |
2002.06.27 |
申请人 |
PLATT JOHN C.;BURGES CHRISTOPHER J.C. |
发明人 |
PLATT JOHN C.;BURGES CHRISTOPHER J.C. |
分类号 |
G06K9/62;(IPC1-7):G06F17/00;G06E1/00;G06E3/00;G06F15/18;G06G7/00;G06N5/02 |
主分类号 |
G06K9/62 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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