Active learning for causal bayesian network structure with non-symmetrical entropy

• Main Authors: Li G., Tze-Yun LEONG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Active learning; Bayesian networks; Intervention; Node selection; Non-symmetrical entropy; Stop criterion; Databases and Information Systems
• 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
• Institution: Singapore Management University

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...