{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:LWRWI3D2C6LFVPUREPL5RZBPFI","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":"a6b88dfea86fff284cdf9269f42ab3cdc97f77c5024119fa40a98c63f5f0b43b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-04-01T07:16:47Z","title_canon_sha256":"02db3b34bda6b6f64448fbcb89490cc8850b24749d94cc5d4242e5c1e821c409"},"schema_version":"1.0","source":{"id":"1204.0171","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1204.0171","created_at":"2026-05-18T03:16:06Z"},{"alias_kind":"arxiv_version","alias_value":"1204.0171v5","created_at":"2026-05-18T03:16:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1204.0171","created_at":"2026-05-18T03:16:06Z"},{"alias_kind":"pith_short_12","alias_value":"LWRWI3D2C6LF","created_at":"2026-05-18T12:27:14Z"},{"alias_kind":"pith_short_16","alias_value":"LWRWI3D2C6LFVPUR","created_at":"2026-05-18T12:27:14Z"},{"alias_kind":"pith_short_8","alias_value":"LWRWI3D2","created_at":"2026-05-18T12:27:14Z"}],"graph_snapshots":[{"event_id":"sha256:6c2f18695f9fb37df2b327988d7562ee7b481ce27ce28a550fd8679c9518286f","target":"graph","created_at":"2026-05-18T03:16:06Z","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":"In this study, a new Stacked Generalization technique called Fuzzy Stacked Generalization (FSG) is proposed to minimize the difference between N -sample and large-sample classification error of the Nearest Neighbor classifier. The proposed FSG employs a new hierarchical distance learning strategy to minimize the error difference. For this purpose, we first construct an ensemble of base-layer fuzzy k- Nearest Neighbor (k-NN) classifiers, each of which receives a different feature set extracted from the same sample set. The fuzzy membership values computed at the decision space of each fuzzy k-N","authors_text":"Fatos T. Yarman Vural, Mete Ozay","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-04-01T07:16:47Z","title":"A New Fuzzy Stacked Generalization Technique and Analysis of its Performance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1204.0171","kind":"arxiv","version":5},"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:a7ca5a5d6fcddb21ad6cbb70ec154b2d806f3c1a95ceb2902a1f34d0526c0a68","target":"record","created_at":"2026-05-18T03:16:06Z","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":"a6b88dfea86fff284cdf9269f42ab3cdc97f77c5024119fa40a98c63f5f0b43b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-04-01T07:16:47Z","title_canon_sha256":"02db3b34bda6b6f64448fbcb89490cc8850b24749d94cc5d4242e5c1e821c409"},"schema_version":"1.0","source":{"id":"1204.0171","kind":"arxiv","version":5}},"canonical_sha256":"5da3646c7a17965abe9123d7d8e42f2a39e292555647d36434e9ffb75c1de89e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5da3646c7a17965abe9123d7d8e42f2a39e292555647d36434e9ffb75c1de89e","first_computed_at":"2026-05-18T03:16:06.519234Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:16:06.519234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c+lUcLFUsXs3q9f1L7KZc8I8HWUt00ud2NjI5NF9a51pCTVis5iP0D1N9mUvSIzR8e63CRW7zwq7KYdYUMLbAA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:16:06.519804Z","signed_message":"canonical_sha256_bytes"},"source_id":"1204.0171","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7ca5a5d6fcddb21ad6cbb70ec154b2d806f3c1a95ceb2902a1f34d0526c0a68","sha256:6c2f18695f9fb37df2b327988d7562ee7b481ce27ce28a550fd8679c9518286f"],"state_sha256":"1ebae16fd222aec605b5a6a11f3790627f7927d8b5c245c775a5d8021def9903"}