Invention Grant
- Patent Title: Methods and systems for constructing Bayesian belief networks
- Patent Title (中): 构建贝叶斯信念网络的方法与系统
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Application No.: US13324694Application Date: 2011-12-13
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Publication No.: US08849729B2Publication Date: 2014-09-30
- Inventor: Zachary T. Cox , Jonathan Pfautz , David Koelle , Geoffrey Catto , Joseph Campolongo
- Applicant: Zachary T. Cox , Jonathan Pfautz , David Koelle , Geoffrey Catto , Joseph Campolongo
- Applicant Address: US MA Cambridge
- Assignee: Charles River Analytics, Inc.
- Current Assignee: Charles River Analytics, Inc.
- Current Assignee Address: US MA Cambridge
- Agency: McDermott Will & Emery LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N5/02 ; G06N5/04 ; G06N7/00

Abstract:
Methods and systems are described for simplifying a causal influence model that describes influence of parent nodes Xi (i=1, . . . , n) on possible states of the child node Y. The child node Y and each one of the parent nodes Xi (i=1, . . . , n) are assumed to be either a discrete Boolean node having states true and false, a discrete Ordinal node having a plurality of ordered states; and a Categorical node having a plurality of unordered states. The influence of each parent node Xi on the child node Y is assumed to be a promoting influence and an inhibiting influence. User interfaces are described that incorporate these specific node types.
Public/Granted literature
- US20120084239A1 Methods and Systems for Constructing Bayesian Belief Networks Public/Granted day:2012-04-05
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