{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CNO7WWFCDCCS7KSI4ANULOWBLD","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":"527a661b059bc67a24824fd9154440d3fcc2efc275b7a01bb9be72f7fcb48692","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-18T12:00:31Z","title_canon_sha256":"5819ee3306a1bacd9b69ef2c82ebf9a63dc6091738137b29aa58351bf4d7fdb7"},"schema_version":"1.0","source":{"id":"1806.06610","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.06610","created_at":"2026-05-18T00:13:01Z"},{"alias_kind":"arxiv_version","alias_value":"1806.06610v1","created_at":"2026-05-18T00:13:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.06610","created_at":"2026-05-18T00:13:01Z"},{"alias_kind":"pith_short_12","alias_value":"CNO7WWFCDCCS","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"CNO7WWFCDCCS7KSI","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"CNO7WWFC","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:c1d691112e4f424b1db8c259eadd28b394697cb396e6aacff7aa78f6a4d90171","target":"graph","created_at":"2026-05-18T00:13:01Z","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":"Incremental learning from non-stationary data poses special challenges to the field of machine learning. Although new algorithms have been developed for this, assessment of results and comparison of behaviors are still open problems, mainly because evaluation metrics, adapted from more traditional tasks, can be ineffective in this context. Overall, there is a lack of common testing practices. This paper thus presents a testbed for incremental non-stationary learning algorithms, based on specially designed synthetic datasets. Also, test results are reported for some well-known algorithms to sho","authors_text":"Alejandro Cervantes, Christian Gagn\\'e, Marc Parizeau, Pedro Isasi","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-18T12:00:31Z","title":"Evaluating and Characterizing Incremental Learning from Non-Stationary Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.06610","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":"sha256:38c91291a2f8e17dfcc30031648852062f1444437546b19feaee5cb2e84b97ba","target":"record","created_at":"2026-05-18T00:13:01Z","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":"527a661b059bc67a24824fd9154440d3fcc2efc275b7a01bb9be72f7fcb48692","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2018-06-18T12:00:31Z","title_canon_sha256":"5819ee3306a1bacd9b69ef2c82ebf9a63dc6091738137b29aa58351bf4d7fdb7"},"schema_version":"1.0","source":{"id":"1806.06610","kind":"arxiv","version":1}},"canonical_sha256":"135dfb58a218852faa48e01b45bac158e3c609ca1a0fc2124f57cb12396e234d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"135dfb58a218852faa48e01b45bac158e3c609ca1a0fc2124f57cb12396e234d","first_computed_at":"2026-05-18T00:13:01.849228Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:01.849228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v53YderIzVhS/4MsiYa6ID0jQtp+lOHw4/5ZICK7JBWR6LimbdaSeIOPLxGZjN4yHCCQ7NgxVMHBwFRwEQWgAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:01.849918Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.06610","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38c91291a2f8e17dfcc30031648852062f1444437546b19feaee5cb2e84b97ba","sha256:c1d691112e4f424b1db8c259eadd28b394697cb396e6aacff7aa78f6a4d90171"],"state_sha256":"43e4985bb19542128aa0e6798cb30f02ddf8b7752dac0a4217047a91899f40d5"}