PMC:7796369 / 9803-10292 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7796369","sourcedb":"PMC","sourceid":"7796369","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7796369","text":"We chose to sample all variables uniformly, as we do not have any distribution knowledge of the real-world application of the model. Furthermore, by sampling in such an unbiased fashion, we reduce the chances of the network overfitting based on some intrinsic property of our training set. Some conditional restrictions are built regarding the binary variables, as noted in Table 1. Altogether, we generated about 125 k simulation samples, providing us with a dense enough training domain.","tracks":[{"project":"LitCovid-sentences","denotations":[{"id":"T74","span":{"begin":0,"end":132},"obj":"Sentence"},{"id":"T75","span":{"begin":133,"end":289},"obj":"Sentence"},{"id":"T76","span":{"begin":290,"end":382},"obj":"Sentence"},{"id":"T77","span":{"begin":383,"end":489},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"attributes":[{"subj":"T74","pred":"source","obj":"LitCovid-sentences"},{"subj":"T75","pred":"source","obj":"LitCovid-sentences"},{"subj":"T76","pred":"source","obj":"LitCovid-sentences"},{"subj":"T77","pred":"source","obj":"LitCovid-sentences"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"LitCovid-sentences","color":"#93ece9","default":true}]}]}}