{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:2I23AS76TNWRYARNU6IYRCRYAS","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":"35edfd02efe79d3015c95861aaa3ce107cabdb5edbc69515f44ef1696a4e6a85","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-23T11:38:00Z","title_canon_sha256":"44aa0c2798e78992e9a9a8a781fc7978f9f8337c4b7d1caf79945ed137e645ed"},"schema_version":"1.0","source":{"id":"1706.07642","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.07642","created_at":"2026-05-18T00:23:56Z"},{"alias_kind":"arxiv_version","alias_value":"1706.07642v2","created_at":"2026-05-18T00:23:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07642","created_at":"2026-05-18T00:23:56Z"},{"alias_kind":"pith_short_12","alias_value":"2I23AS76TNWR","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"2I23AS76TNWRYARN","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"2I23AS76","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:1c0069c549d552fa8d283ac648d420f6ed58b5ffb831ecac35b1f9b8bfc705af","target":"graph","created_at":"2026-05-18T00:23:56Z","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":"Active learning aims to train a classifier as fast as possible with as few labels as possible. The core element in virtually any active learning strategy is the criterion that measures the usefulness of the unlabeled data based on which new points to be labeled are picked. We propose a novel approach which we refer to as maximizing variance for active learning or MVAL for short. MVAL measures the value of unlabeled instances by evaluating the rate of change of output variables caused by changes in the next sample to be queried and its potential labelling. In a sense, this criterion measures ho","authors_text":"Marco Loog, Yazhou Yang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-23T11:38:00Z","title":"A Variance Maximization Criterion for Active Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07642","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:deb002d5bdb81cb46f4af5c2a9ce6bfc2710214c0539fb2aee4585219a3d5c8d","target":"record","created_at":"2026-05-18T00:23:56Z","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":"35edfd02efe79d3015c95861aaa3ce107cabdb5edbc69515f44ef1696a4e6a85","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-23T11:38:00Z","title_canon_sha256":"44aa0c2798e78992e9a9a8a781fc7978f9f8337c4b7d1caf79945ed137e645ed"},"schema_version":"1.0","source":{"id":"1706.07642","kind":"arxiv","version":2}},"canonical_sha256":"d235b04bfe9b6d1c022da791888a38048c9c4e0085cf7a446405b8f58f0e83e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d235b04bfe9b6d1c022da791888a38048c9c4e0085cf7a446405b8f58f0e83e5","first_computed_at":"2026-05-18T00:23:56.432897Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:23:56.432897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2SF/oKqCtBsYx7z6d4wAUey81v6XzDagm8VtWVHfavT4MZC5twBSc4NlbKePrixBOPrxkphPWBVJEslCnQLGBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:23:56.433589Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.07642","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:deb002d5bdb81cb46f4af5c2a9ce6bfc2710214c0539fb2aee4585219a3d5c8d","sha256:1c0069c549d552fa8d283ac648d420f6ed58b5ffb831ecac35b1f9b8bfc705af"],"state_sha256":"aa2f8d537c0403667a31fa711d711653a678827bfa7f7a7fedab0ddd83babb32"}