A heuristic algorithm for pattern-to-DAG conversion

  • Authors:
  • Yingying Wen;Kevin B. Korb

  • Affiliations:
  • School of Information Technology, Monash University, Clayton, VIC, Australia;School of Information Technology, Monash University, Clayton, VIC, Australia

  • Venue:
  • AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
  • Year:
  • 2007

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Abstract

Finding a DAG to represent a Markov equivalence class of DAGs -- i.e., a pattern -- is a necessary step in some causal discovery algorithms. If the case involves a known true DAG generating artificial data, then it is also arguably a necessary step in evaluating any causal discovery algorithm. We present three algorithms for converting patterns to representative DAGs, analyse their time complexity and demonstrate their use experimentally.