{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:TQNRRIPSVBMFA7ZYNAAQQPUNU4","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":"8b6b201ca6f996230bef9cdf4cd1c5e9196ddf9c1619e2f02e6bb71a7fe07223","cross_cats_sorted":["stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-08-18T20:12:09Z","title_canon_sha256":"0d0d8a7c47b1631003dba009cff23b6eb2f4c754302eeb320fba89c4d8c5c51a"},"schema_version":"1.0","source":{"id":"1408.4140","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.4140","created_at":"2026-05-18T02:44:56Z"},{"alias_kind":"arxiv_version","alias_value":"1408.4140v1","created_at":"2026-05-18T02:44:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.4140","created_at":"2026-05-18T02:44:56Z"},{"alias_kind":"pith_short_12","alias_value":"TQNRRIPSVBMF","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_16","alias_value":"TQNRRIPSVBMFA7ZY","created_at":"2026-05-18T12:28:49Z"},{"alias_kind":"pith_short_8","alias_value":"TQNRRIPS","created_at":"2026-05-18T12:28:49Z"}],"graph_snapshots":[{"event_id":"sha256:4742f12a9dbcc65448525e745d30ddc99920711566b77c8c967b66f25ee5f972","target":"graph","created_at":"2026-05-18T02:44:56Z","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":"We propose a novel \"tree-averaging\" model that utilizes the ensemble of classification and regression trees (CART). Each constituent tree is estimated with a subset of similar data. We treat this grouping of subsets as Bayesian ensemble trees (BET) and model them as an infinite mixture Dirichlet process. We show that BET adapts to data heterogeneity and accurately estimates each component. Compared with the bootstrap-aggregating approach, BET shows improved prediction performance with fewer trees. We develop an efficient estimating procedure with improved sampling strategies in both CART and m","authors_text":"John P. Clancy, Leo L. Duan, Rhonda D. Szczesniak","cross_cats":["stat.CO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-08-18T20:12:09Z","title":"BET: Bayesian Ensemble Trees for Clustering and Prediction in Heterogeneous Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.4140","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:fc35f75cbc24be247f40106bd3a18e9cf0c91e4bbb8b2e9fd8d5a419af002b3f","target":"record","created_at":"2026-05-18T02:44:56Z","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":"8b6b201ca6f996230bef9cdf4cd1c5e9196ddf9c1619e2f02e6bb71a7fe07223","cross_cats_sorted":["stat.CO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-08-18T20:12:09Z","title_canon_sha256":"0d0d8a7c47b1631003dba009cff23b6eb2f4c754302eeb320fba89c4d8c5c51a"},"schema_version":"1.0","source":{"id":"1408.4140","kind":"arxiv","version":1}},"canonical_sha256":"9c1b18a1f2a858507f386801083e8da736ddb48d03357e8d51ee3ec8647887a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c1b18a1f2a858507f386801083e8da736ddb48d03357e8d51ee3ec8647887a0","first_computed_at":"2026-05-18T02:44:56.001146Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:44:56.001146Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1k1yICoxRR2A10YlxIeaD06G/PMQ63QrH1YqrG3nSFDB3pvIPnJWtWItHZzTOmOebrAulgA9wR3l8m1BHCy4Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:44:56.001568Z","signed_message":"canonical_sha256_bytes"},"source_id":"1408.4140","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc35f75cbc24be247f40106bd3a18e9cf0c91e4bbb8b2e9fd8d5a419af002b3f","sha256:4742f12a9dbcc65448525e745d30ddc99920711566b77c8c967b66f25ee5f972"],"state_sha256":"f931bcbbaaf5a44f94fa4b821df3f403bf51ec4122f485158dd2b5cb677c266f"}