Invention Grant
- Patent Title: Detection of epidemic outbreaks with Persistent Causal-Chain Dynamic Bayesian Networks
- Patent Title (中): 用持续因果链动态贝叶斯网络检测疫情爆发
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Application No.: US11806996Application Date: 2007-06-05
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Publication No.: US07792779B2Publication Date: 2010-09-07
- Inventor: Denver Dash
- Applicant: Denver Dash
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Pearl Cohen Zedek Latzer, LLP
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F11/00 ; G06F12/14 ; G06F12/16 ; G06N7/02 ; G06N7/06 ; G08B23/00
Abstract:
A method for determining a probability of a hidden variable from an observed variable in a Dynamic Bayesian Network is presented. The method includes identifying the network based on predetermined criteria, determining a number of hidden variables in a time slice of the network, determining a number of the time slices of the network, and determining the probability of the hidden variable from the observed variable in less than exponential time with respect to the number of hidden variables.
Public/Granted literature
- US20080306896A1 Detection of epidemic outbreaks with Persistent Causal-chain Dynamic Bayesian Networks Public/Granted day:2008-12-11
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