Invention Grant
- Patent Title: Support vector machine—recursive feature elimination (SVM-RFE)
- Patent Title (中): 支持向量机递归特征消除(SVM-RFE)
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Application No.: US12957411Application Date: 2010-12-01
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Publication No.: US08095483B2Publication Date: 2012-01-10
- Inventor: Jason Weston , Isabelle Guyon
- Applicant: Jason Weston , Isabelle Guyon
- Applicant Address: US GA Savannah
- Assignee: Health Discovery Corporation
- Current Assignee: Health Discovery Corporation
- Current Assignee Address: US GA Savannah
- Agency: Procopio, Cory, Hargreaves & Savitch LLP
- Agent Eleanor M. Musick
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
Identification of a determinative subset of features from within a group of features is performed by training a support vector machine using training samples with class labels to determine a value of each feature, where features are removed based on their the value. One or more features having the smallest values are removed and an updated kernel matrix is generated using the remaining features. The process is repeated until a predetermined number of features remain which are capable of accurately separating the data into different classes.
Public/Granted literature
- US20110119213A1 SUPPORT VECTOR MACHINE - RECURSIVE FEATURE ELIMINATION (SVM-RFE) Public/Granted day:2011-05-19
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