{"paper":{"title":"A Bayesian Method for Constructing Bayesian Belief Networks from Databases","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Edward H. Herskovits, Gregory F. Cooper","submitted_at":"2013-03-20T15:30:21Z","abstract_excerpt":"This paper presents a Bayesian method for constructing Bayesian belief networks from a database of cases.  Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems.  Results are presented of a preliminary evaluation of an algorithm for constructing a belief network from a database of cases.  We relate the methods in this paper to previous work, and we discuss open problems."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.5714","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}