NDLI: Swamping and masking in Markov boundary discovery

Content Provider	Springer Nature Link
Author	Liu, Xuqing Liu, Xinsheng
Copyright Year	2016
Abstract	This paper considers the problems of swamping and masking in Markov boundary discovery for a target variable. There are two potential reasons for swamping and masking: one is incorrectness of some conditional independence (CI) tests, and the other is violation of local composition. First, we explain why the incorrectness of CI tests may lead to swamping and masking, analyze how to reduce the incorrectness of CI tests, and build an algorithm called LRH under local composition. For convenience, we integrate the two existing algorithms, IAMB and KIAMB, and our LRH into an algorithmic framework called LCMB. Second, since LCMB may prematurely stop searching if local composition is violated, a theoretical improvement on LCMB is made as follows: we analyze how to resume the stopped search of LCMB, construct a corresponding algorithmic framework called WLCMB, and show that its correctness only needs a more relaxed condition than that of LCMB. Finally, we apply LCMB and WLCMB to a number of Bayesian networks. The experimental results reveal that LRH is much more efficient than the existing two LCMB algorithms and that WLCMB can further improve LCMB.
Starting Page	25
Ending Page	54
Page Count	30
File Format	PDF
ISSN	08856125
Journal	Machine Learning
Volume Number	104
Issue Number	1
e-ISSN	15730565
Language	English
Publisher	Springer US
Publisher Date	2016-03-09
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bayesian network Markov blanket Markov boundary Masking Swamping Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Computing Methodologies Simulation and Modeling Language Translation and Linguistics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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