Unnamed repository; edit this file 'description' to name the repository. http://git.genenetwork.org/BNW/atom?h=main 2021-02-24T21:19:03+00:00 2021-02-24T21:19:03+00:00 ziejd2 2021-02-24T21:19:03+00:00 urn:sha1:1427e9bf4f85823164b4573a3bcf1ba3ba6b04d0 2021-02-24T20:36:59+00:00 ziejd2 2021-02-24T20:36:59+00:00 urn:sha1:25b843f6bbacb1937bdb960777b73acbece64115 2018-09-14T04:59:20+00:00 ziejd2 2018-09-14T04:59:20+00:00 urn:sha1:e3f7237ffcb19f19db3b68777b5a94b89e07f66a The main change here is in the parameter learning methods. The parameters that are learned at first (i.e., if there is no evidence) are the distributions that are found directly in the data. I had to create or significantly modify several BNT files for this. If there is evidence, the parameters are learned using a Dirichlet prior. This only required a couple of small changes to the BNW parameter learning files. 2018-03-15T04:19:16+00:00 ziejd2 2018-03-15T04:19:16+00:00 urn:sha1:c80226899f5cdd9f11c163817d59445213f5bef0