发明名称 |
SUPPORT VECTOR REGRESSION FOR CENSORED DATA |
摘要 |
A method of producing a model for use in predicting time to an event includes obtaining mufti-dimensional, non-linear vectors of information indicative of status of multiple test subjects, at least one of the vectors being right-censored, lacking an indication of a time of occurrence of the event with respect to the corresponding test subject, and performing regression using the vectors of information to produce a kernel-based model to provide an output value related to a prediction of time to the event based upon at least some of the information contained in the vectors of information, where for each vector comprising right-censored data, a censored-data penalty function is used to affect the regression, the censored-data penalty function being different than a non-censored-data penalty function used for each vector comprising noncensored data. |
申请公布号 |
WO2005050556(A2) |
申请公布日期 |
2005.06.02 |
申请号 |
WO2004US38778 |
申请日期 |
2004.11.18 |
申请人 |
AUREON BIOSCIENCES CORPORATION;SAIDI, OLIVIER;VERBEL, DAVID, A. |
发明人 |
SAIDI, OLIVIER;VERBEL, DAVID, A. |
分类号 |
G06F13/00;G06F19/00;G06N;H04N5/445 |
主分类号 |
G06F13/00 |
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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