A 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
申请公布号
WO2005078638(A3)
申请公布日期
2005.10.06
申请号
WO2005US03806
申请日期
2005.02.04
申请人
SIEMENS MEDICAL SOLUTIONS USA, INC.;DUNDAR, MURAT;FUNG, GLENN;BI, JINBO;RAO, R. BHARAT
发明人
DUNDAR, MURAT;FUNG, GLENN;BI, JINBO;RAO, R. BHARAT