发明名称 |
SUPPORT VECTOR MACHINE-BASED METHOD FOR ANALYSIS OF SPECTRAL DATA |
摘要 |
Support vector machines are used to classify data contained within a structured dataset such as a plurality of signals generated by a spectral analyzer. The signals are pre-processed to ensure alignment of peaks across the spectra. Similarity measures are constructed to provide a basis for comparison of pairs of samples of the signal. A support vector machine is trained to discriminate between different classes of the samples. to identify the most predictive features within the spectra. In a preferred embodiment feature selection is performed to reduce the number of features that must be considered. |
申请公布号 |
US2014032451(A1) |
申请公布日期 |
2014.01.30 |
申请号 |
US201313914607 |
申请日期 |
2013.06.10 |
申请人 |
HEALTH DISCOVERY CORPORATION |
发明人 |
BEN-HUR ASA;ELISSEEFF ANDRE;CHAPPELLE OLIVIER;WESTON JASON |
分类号 |
G06N99/00 |
主分类号 |
G06N99/00 |
代理机构 |
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代理人 |
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地址 |
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