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2021-10-11Resolved merge conflictziejd2
2021-03-16Delete old example filesziejd2
2021-03-16Delete Bqxmap.txtziejd2
2021-03-16Delete Bqxk.txtziejd2
2021-03-16Delete Bqxgraphviz.txtziejd2
2021-03-16Delete standardized_data.txtziejd2
2021-03-16Delete Bqxcontinuous_input.txtziejd2
2021-03-16Delete Bqxban.txtziejd2
2021-03-16Delete sourcecodes/data/example1/old directoryziejd2
2021-03-04Create sample_network.jsonziejd2
2021-03-02Delete sourcecodes/data/old directoryziejd2
2021-03-02Delete LRlnetwork.jsonziejd2
2021-02-24Moving final GENENET8 version to masterziejd2
2021-02-24GENENET8 updateziejd2
2019-01-28Deleting old versions of filesziejd2
2018-09-13New parameter learning optionsziejd2
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.
2018-04-25Bug fixes, code comments, and minor changesziejd2
2017-09-28Deleting old filesziejd2
2017-09-28BNW using Octave instead of Matlab.ziejd2
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02
2017-09-14Add files via uploadziejd2
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