Active learning for causal bayesian network structure with non-symmetrical entropy
Causal knowledge is crucial for facilitating comprehension, diagnosis, prediction, and control in automated reasoning. Active learning in causal Bayesian networks involves interventions by manipulating specific variables, and observing the patterns of change over other variables to derive causal kno...
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Main Authors: | Li G., Tze-Yun LEONG |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
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Online Access: | https://ink.library.smu.edu.sg/sis_research/2983 https://ink.library.smu.edu.sg/context/sis_research/article/3983/viewcontent/PAKDD09.pdf |
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Institution: | Singapore Management University |
Language: | English |
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