Invention Grant
- Patent Title: False discover rate for graphical models
- Patent Title (中): 图形模型的假发现率
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Application No.: US11873440Application Date: 2007-10-17
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Publication No.: US07885905B2Publication Date: 2011-02-08
- Inventor: David E Heckerman , Jennifer Listgarten , Carl M Kadie
- Applicant: David E Heckerman , Jennifer Listgarten , Carl M Kadie
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
The claimed subject matter provides systems and/or methods that determines a number of non-spurious arcs associated with a learned graphical model. The system can include devices and mechanisms that utilize learning algorithms and datasets to generate learned graphical models and graphical models associated with null permutations of the datasets, ascertaining the average number of arcs associated with the graphical models associated with null permutations of the datasets, enumerating the total number of arcs affiliated with the learned graphical model, and presenting a ratio of the average number of arcs to the total number of arcs, the ratio indicative of the number of non-spurious arcs associated the learned graphical model.
Public/Granted literature
- US20090106172A1 FALSE DISCOVERY RATE FOR GRAPHICAL MODLES Public/Granted day:2009-04-23
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