DocumentCode
3249204
Title
Robust structure estimation of maximum causal entropy processes
Author
Ziebart, Brian D.
Author_Institution
Univ. of Illinois at Chicago, Chicago, IL, USA
fYear
2013
fDate
2-4 Oct. 2013
Firstpage
996
Lastpage
1001
Abstract
The principle of maximum causal entropy extends random field models to settings with feedback and interaction by providing a framework for estimating a process based on its interactions with another known process. Previous work has assumed a causal structure for the influences of revealed information. In this work, we investigate the task of estimating this structure from data.
Keywords
estimation theory; feedback; maximum entropy methods; parameter estimation; causal structure; feedback; maximum causal entropy principle; maximum causal entropy processes; parameter estimation; random field models; robust structure estimation; Entropy; Estimation; Joints; Optimization; Probability distribution; Robustness; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4799-3409-6
Type
conf
DOI
10.1109/Allerton.2013.6736634
Filename
6736634
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