{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:DAVOZU3BJO6IXXDA743TKHSQFI","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":"a59fc930261a87fb87212e23b3752304ed5b3bfca12d9bb2a41bc06cd1da2607","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-17T14:46:20Z","title_canon_sha256":"f9f2a2b67938722f9c5867bee2280b212f84e09799fc6135b295b883af0b6618"},"schema_version":"1.0","source":{"id":"1512.05610","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.05610","created_at":"2026-05-18T01:12:49Z"},{"alias_kind":"arxiv_version","alias_value":"1512.05610v2","created_at":"2026-05-18T01:12:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.05610","created_at":"2026-05-18T01:12:49Z"},{"alias_kind":"pith_short_12","alias_value":"DAVOZU3BJO6I","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"DAVOZU3BJO6IXXDA","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"DAVOZU3B","created_at":"2026-05-18T12:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:78df5f7d0eb634e001fd504feced5ebb2d0217a6394b1ec88694a1248731b164","target":"graph","created_at":"2026-05-18T01:12:49Z","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 classification model for weak signal data, building upon a recent model for Bayesian multi-view learning, Group Factor Analysis (GFA). Instead of assuming all data to come from a single GFA model, we allow latent clusters, each having a different GFA model and producing a different class distribution. We show that sharing information across the clusters, by sharing factors, increases the classification accuracy considerably; the shared factors essentially form a flexible noise model that explains away the part of data not related to classification. Motivation for the setting","authors_text":"Sami Remes, Samuel Kaski, Tommi Mononen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-17T14:46:20Z","title":"Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.05610","kind":"arxiv","version":2},"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:a340cb67e5e51def5a7df8b25409fd1e1ac6d83399d854b519f5baa949e572d3","target":"record","created_at":"2026-05-18T01:12:49Z","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":"a59fc930261a87fb87212e23b3752304ed5b3bfca12d9bb2a41bc06cd1da2607","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-12-17T14:46:20Z","title_canon_sha256":"f9f2a2b67938722f9c5867bee2280b212f84e09799fc6135b295b883af0b6618"},"schema_version":"1.0","source":{"id":"1512.05610","kind":"arxiv","version":2}},"canonical_sha256":"182aecd3614bbc8bdc60ff37351e502a17f2ca7321c8ab675a9b728fe0290b64","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"182aecd3614bbc8bdc60ff37351e502a17f2ca7321c8ab675a9b728fe0290b64","first_computed_at":"2026-05-18T01:12:49.318782Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:49.318782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uURtbXHxDNKyMS9hYkFcs4s8sbLZZuJUvc2IS91WxOx9PgrIcPtudm7nU6I8tUM0+G5YQr5lQclzgu6oYVPmAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:49.319124Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.05610","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a340cb67e5e51def5a7df8b25409fd1e1ac6d83399d854b519f5baa949e572d3","sha256:78df5f7d0eb634e001fd504feced5ebb2d0217a6394b1ec88694a1248731b164"],"state_sha256":"b25e4e307671eb9b6de40edc3d64b6f0d50c97ee356998c76531f8dd9b0e73b2"}