{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:27PEEO6BMMFLRLKMMGVAEMS4VN","short_pith_number":"pith:27PEEO6B","canonical_record":{"source":{"id":"1106.3397","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-06-17T06:55:24Z","cross_cats_sorted":[],"title_canon_sha256":"bd24af58dcb0f825e2324ec896729db7be2d9c68c0c1c47f66fec935b4a3904d","abstract_canon_sha256":"7814b17cae12527b8f0f6d55764962df101612b979919275d354672d13d2df82"},"schema_version":"1.0"},"canonical_sha256":"d7de423bc1630ab8ad4c61aa02325cab5f92b76fae9d8206901e8a940c8c4a12","source":{"kind":"arxiv","id":"1106.3397","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1106.3397","created_at":"2026-05-18T04:19:52Z"},{"alias_kind":"arxiv_version","alias_value":"1106.3397v1","created_at":"2026-05-18T04:19:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.3397","created_at":"2026-05-18T04:19:52Z"},{"alias_kind":"pith_short_12","alias_value":"27PEEO6BMMFL","created_at":"2026-05-18T12:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"27PEEO6BMMFLRLKM","created_at":"2026-05-18T12:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"27PEEO6B","created_at":"2026-05-18T12:26:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:27PEEO6BMMFLRLKMMGVAEMS4VN","target":"record","payload":{"canonical_record":{"source":{"id":"1106.3397","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-06-17T06:55:24Z","cross_cats_sorted":[],"title_canon_sha256":"bd24af58dcb0f825e2324ec896729db7be2d9c68c0c1c47f66fec935b4a3904d","abstract_canon_sha256":"7814b17cae12527b8f0f6d55764962df101612b979919275d354672d13d2df82"},"schema_version":"1.0"},"canonical_sha256":"d7de423bc1630ab8ad4c61aa02325cab5f92b76fae9d8206901e8a940c8c4a12","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:19:52.851827Z","signature_b64":"s4hppmhzTmUf/SK0pwKyTDgdjEtGlGBIHXF8pYICFf80lQOADsGi73S/qZB4TB1/ypihLWtoFyjOIHaEtkjgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7de423bc1630ab8ad4c61aa02325cab5f92b76fae9d8206901e8a940c8c4a12","last_reissued_at":"2026-05-18T04:19:52.851256Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:19:52.851256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1106.3397","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:19:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VL9STDqLX0QpY4+HA+Kuvty3/ChwLH2p+zIsGw+Fp/e0Oj6vLwQ0Ljr/mnMkEwfnIdEBHO3K8pYmKMpx4A1tCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T06:27:40.497481Z"},"content_sha256":"2ce283412338c0f30845e725d570419336e49227ea7d7c9278ee9535beae4f04","schema_version":"1.0","event_id":"sha256:2ce283412338c0f30845e725d570419336e49227ea7d7c9278ee9535beae4f04"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:27PEEO6BMMFLRLKMMGVAEMS4VN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Handling uncertainties in SVM classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Carole Lartizien (CREATIS), Emilie Niaf (CREATIS), R\\'emi Flamary (LITIS), St\\'ephane Canu (LITIS)","submitted_at":"2011-06-17T06:55:24Z","abstract_excerpt":"This paper addresses the pattern classification problem arising when available target data include some uncertainty information. Target data considered here is either qualitative (a class label) or quantitative (an estimation of the posterior probability). Our main contribution is a SVM inspired formulation of this problem allowing to take into account class label through a hinge loss as well as probability estimates using epsilon-insensitive cost function together with a minimum norm (maximum margin) objective. This formulation shows a dual form leading to a quadratic problem and allows the u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.3397","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:19:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oT9ZhtwZf6F8d7fjNup0bfQuUK4b6Wx24l+7gT6FrqNXCqXAl6eBOmsg9oxTY+EDeidpcaT/C4iId2C4jHcOCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T06:27:40.497831Z"},"content_sha256":"88eda725caee7c64d8a55bca11ff56aac0c5d690c4a78bb5cc2919713d9e5000","schema_version":"1.0","event_id":"sha256:88eda725caee7c64d8a55bca11ff56aac0c5d690c4a78bb5cc2919713d9e5000"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/27PEEO6BMMFLRLKMMGVAEMS4VN/bundle.json","state_url":"https://pith.science/pith/27PEEO6BMMFLRLKMMGVAEMS4VN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/27PEEO6BMMFLRLKMMGVAEMS4VN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-30T06:27:40Z","links":{"resolver":"https://pith.science/pith/27PEEO6BMMFLRLKMMGVAEMS4VN","bundle":"https://pith.science/pith/27PEEO6BMMFLRLKMMGVAEMS4VN/bundle.json","state":"https://pith.science/pith/27PEEO6BMMFLRLKMMGVAEMS4VN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/27PEEO6BMMFLRLKMMGVAEMS4VN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:27PEEO6BMMFLRLKMMGVAEMS4VN","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":"7814b17cae12527b8f0f6d55764962df101612b979919275d354672d13d2df82","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-06-17T06:55:24Z","title_canon_sha256":"bd24af58dcb0f825e2324ec896729db7be2d9c68c0c1c47f66fec935b4a3904d"},"schema_version":"1.0","source":{"id":"1106.3397","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1106.3397","created_at":"2026-05-18T04:19:52Z"},{"alias_kind":"arxiv_version","alias_value":"1106.3397v1","created_at":"2026-05-18T04:19:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.3397","created_at":"2026-05-18T04:19:52Z"},{"alias_kind":"pith_short_12","alias_value":"27PEEO6BMMFL","created_at":"2026-05-18T12:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"27PEEO6BMMFLRLKM","created_at":"2026-05-18T12:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"27PEEO6B","created_at":"2026-05-18T12:26:18Z"}],"graph_snapshots":[{"event_id":"sha256:88eda725caee7c64d8a55bca11ff56aac0c5d690c4a78bb5cc2919713d9e5000","target":"graph","created_at":"2026-05-18T04:19:52Z","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":"This paper addresses the pattern classification problem arising when available target data include some uncertainty information. Target data considered here is either qualitative (a class label) or quantitative (an estimation of the posterior probability). Our main contribution is a SVM inspired formulation of this problem allowing to take into account class label through a hinge loss as well as probability estimates using epsilon-insensitive cost function together with a minimum norm (maximum margin) objective. This formulation shows a dual form leading to a quadratic problem and allows the u","authors_text":"Carole Lartizien (CREATIS), Emilie Niaf (CREATIS), R\\'emi Flamary (LITIS), St\\'ephane Canu (LITIS)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-06-17T06:55:24Z","title":"Handling uncertainties in SVM classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.3397","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":"sha256:2ce283412338c0f30845e725d570419336e49227ea7d7c9278ee9535beae4f04","target":"record","created_at":"2026-05-18T04:19:52Z","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":"7814b17cae12527b8f0f6d55764962df101612b979919275d354672d13d2df82","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2011-06-17T06:55:24Z","title_canon_sha256":"bd24af58dcb0f825e2324ec896729db7be2d9c68c0c1c47f66fec935b4a3904d"},"schema_version":"1.0","source":{"id":"1106.3397","kind":"arxiv","version":1}},"canonical_sha256":"d7de423bc1630ab8ad4c61aa02325cab5f92b76fae9d8206901e8a940c8c4a12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7de423bc1630ab8ad4c61aa02325cab5f92b76fae9d8206901e8a940c8c4a12","first_computed_at":"2026-05-18T04:19:52.851256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:19:52.851256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s4hppmhzTmUf/SK0pwKyTDgdjEtGlGBIHXF8pYICFf80lQOADsGi73S/qZB4TB1/ypihLWtoFyjOIHaEtkjgDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:19:52.851827Z","signed_message":"canonical_sha256_bytes"},"source_id":"1106.3397","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ce283412338c0f30845e725d570419336e49227ea7d7c9278ee9535beae4f04","sha256:88eda725caee7c64d8a55bca11ff56aac0c5d690c4a78bb5cc2919713d9e5000"],"state_sha256":"a4e0a76b42007f3b11c3fb9b88957e9b4035f7f872dcb35722423845429d3a5f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Z51xqfo9C8vnSHQDc6VuL2Bc+6rBZyDKWlVmup2D3uyyyF2Ok6zM6KrgATVffiml5LFkaUcGdAih3pjpXZuCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T06:27:40.499877Z","bundle_sha256":"57f36d0067558bb348de815195eebd5ce55ecf82ff5d6f27d24d07d8690e389b"}}