Information Journal Paper
APA:
CopyCHICKERING, D.M., MEEK, C., & HECKERMA, D.N.. (2003). LARGE-SAMPLE LEARNING OF BAYESIAN NETWORKS IS NP-HARD. PROCCEDING IN UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, -(19), 124-133. SID. https://sid.ir/paper/617109/en
Vancouver:
CopyCHICKERING D.M., MEEK C., HECKERMA D.N.. LARGE-SAMPLE LEARNING OF BAYESIAN NETWORKS IS NP-HARD. PROCCEDING IN UNCERTAINTY IN ARTIFICIAL INTELLIGENCE[Internet]. 2003;-(19):124-133. Available from: https://sid.ir/paper/617109/en
IEEE:
CopyD.M. CHICKERING, C. MEEK, and D.N. HECKERMA, “LARGE-SAMPLE LEARNING OF BAYESIAN NETWORKS IS NP-HARD,” PROCCEDING IN UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, vol. -, no. 19, pp. 124–133, 2003, [Online]. Available: https://sid.ir/paper/617109/en