Title :
A Fast HITON_PC Algorithm
Author_Institution :
Sch. of Math., Hefei Univ. of Technol., Hefei, China
Abstract :
The HITON_PC algorithm which is a state-of-the-art local causal discovery algorithm can deal with a dataset with a very small sample-to-variable ratio efficiently. But it cannot perform inefficiently on a dataset with a very large sample. To address this problem, a fast HITON_PC algorithm is presented which uses a new yet simple search strategy from high order to low order to improve the efficiency of HITON-PC. Experimental results show our fast HITON_PC outperforms the HITON_PC algorithm. Moreover, we also apply the new search strategy to MMPC algorithm. Our method also is superior to MMPC.
Keywords :
inference mechanisms; learning (artificial intelligence); search problems; MMPC algorithm; causal discovery algorithm; fast HITON_PC algorithm; search strategy; Bayesian networks; Causal discovery; HITON_PC; MMPC;
Conference_Titel :
Computational Intelligence and Security (CIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-9114-8
Electronic_ISBN :
978-0-7695-4297-3
DOI :
10.1109/CIS.2010.17