发明名称 |
System and method for a sparse kernel expansion for a bayes classifier |
摘要 |
A method and device having instructions for analyzing input data-space by learning classifiers include choosing a candidate subset from a predetermined training data-set that is used to analyze the input data-space. Candidates are temporarily added from the candidate subset to an expansion set to generate a new kernel space for the input data-space by predetermined repeated evaluations of leave-one-out errors for the candidates added to the expansion set. This is followed by removing the candidates temporarily added to the expansion set after the leave-one-out error evaluations are performed, and selecting the candidates to be permanently added to the expansion set based on the leave-one-out errors of the candidates temporarily added to the expansion set to determine the one or more classifiers.
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申请公布号 |
US2005197980(A1) |
申请公布日期 |
2005.09.08 |
申请号 |
US20050049187 |
申请日期 |
2005.02.02 |
申请人 |
SIEMENS MEDICAL SOLUTIONS USA, INC. |
发明人 |
DUNDAR MURAT;FUNG GLENN;BI JINBO;RAO R. B. |
分类号 |
G06K9/62;(IPC1-7):G06E1/00 |
主分类号 |
G06K9/62 |
代理机构 |
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地址 |
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