Invention Grant
- Patent Title: Computer-implemented semi-supervised learning systems and methods
- Patent Title (中): 计算机实施的半监督学习系统和方法
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Application No.: US11850861Application Date: 2007-09-06
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Publication No.: US08346691B1Publication Date: 2013-01-01
- Inventor: Revathi Subramanian , Vijay S. Desai , Hongrui Gong
- Applicant: Revathi Subramanian , Vijay S. Desai , Hongrui Gong
- Applicant Address: US NC Cary
- Assignee: SAS Institute Inc.
- Current Assignee: SAS Institute Inc.
- Current Assignee Address: US NC Cary
- Agency: Jones Day
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
Computer-implemented systems and methods for determining a subset of unknown targets to investigate. For example, a method can be configured to receive a target data set, wherein the target data set includes known targets and unknown targets. A supervised model such as a neural network model is generated using the known targets. The unknown targets are used with the neural network model to generate values for the unknown targets. Analysis with an unsupervised model is performed using the target data set in order to determine which of the unknown targets are outliers. A comparison of list of outlier unknown targets is performed with the values for the unknown targets that were generated by the neural network model. The subset of unknown targets to investigate is determined based upon the comparison.
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