{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:K5DLJBT72MBNDIGGTNKQKBOLOW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"364f925437cf7ed2dff5612af2b6122ad5049c66f33f7aa0babc1309634f5dd3","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-01T20:59:03Z","title_canon_sha256":"34f9165fcb25e4491a28d4118ba2b56e488d1578f23bfd095293553d3a579d29"},"schema_version":"1.0","source":{"id":"1812.00262","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.00262","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"1812.00262v1","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.00262","created_at":"2026-05-17T23:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"K5DLJBT72MBN","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"K5DLJBT72MBNDIGG","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"K5DLJBT7","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:3f3967a0a1238ddf841baae4e63f7c85cd7772ded9f36eae834cad581363e025","target":"graph","created_at":"2026-05-17T23:59:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Data sets are growing in complexity thanks to the increasing facilities we have nowadays to both generate and store data. This poses many challenges to machine learning that are leading to the proposal of new methods and paradigms, in order to be able to deal with what is nowadays referred to as Big Data. In this paper we propose a method for the aggregation of different Bayesian network structures that have been learned from separate data sets, as a first step towards mining data sets that need to be partitioned in an horizontal way, i.e. with respect to the instances, in order to be processe","authors_text":"Concha Bielza, Irene C\\'ordoba, Pedro Larra\\~naga","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-01T20:59:03Z","title":"Towards Gaussian Bayesian Network Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.00262","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d0300932f2b963968d1042dcabaa7d42b3a04337788a418fb88fb57d8f7ab7fa","target":"record","created_at":"2026-05-17T23:59:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"364f925437cf7ed2dff5612af2b6122ad5049c66f33f7aa0babc1309634f5dd3","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-01T20:59:03Z","title_canon_sha256":"34f9165fcb25e4491a28d4118ba2b56e488d1578f23bfd095293553d3a579d29"},"schema_version":"1.0","source":{"id":"1812.00262","kind":"arxiv","version":1}},"canonical_sha256":"5746b4867fd302d1a0c69b550505cb7580a098e277d990c4b3856e11aff954a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5746b4867fd302d1a0c69b550505cb7580a098e277d990c4b3856e11aff954a7","first_computed_at":"2026-05-17T23:59:21.724088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:21.724088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6c+nKYCqMrjEoAepXvCwTkHwmerH5ZS1OVqSGuXQfkHBjcqKqYmMqXNHdHLX6gzoa2ONor/7eXFDfRk8SrU3Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:21.724427Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.00262","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0300932f2b963968d1042dcabaa7d42b3a04337788a418fb88fb57d8f7ab7fa","sha256:3f3967a0a1238ddf841baae4e63f7c85cd7772ded9f36eae834cad581363e025"],"state_sha256":"a0f21fd0478832aa5aa0a9e506d829aacf875cc87f5a472d085e42851f2b6d11"}