all tags

machine-learning-theory

14 notes carry this tag — 1 moc, 8 claims, 1 observation, 3 captures, 1 essay. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

Essays

• 
  filed under medical example
  essay drafting 2026-08-13 · RAG, machine-learning-theory, voting-theory, crowdsourcing, medical-statistics

Everything else

• Verify, against a clean primary text, that Dawid & Skene (1979) proposes weighting each observer's vote by 'his previous performance'
  capture promoted Tier 1 2026-08-14 · dawid-skene, crowdsourcing, voting-theory, machine-learning-theory, medical-statistics
• Dawid & Skene (1979) credit Dempster, Laird & Rubin (1977) as the source of the EM numerical method their model is built on
  claim seedling Tier 1 2026-08-14 · dawid-skene, EM-algorithm, crowdsourcing, machine-learning-theory, medical-statistics
• Dawid & Skene (1979) propose performance-weighted consensus voting in their introduction but never name, derive, or test it as a method in the rest of the paper
  claim seedling Tier 1 2026-08-14 · dawid-skene, crowdsourcing, EM-algorithm, voting-theory, machine-learning-theory
• A phrase is not a pedigree — 'weighted (majority) voting' names several unrelated machines, and the real lineages run somewhere else
  topic map 2026-08-14 · voting-theory, machine-learning-theory, multiple-discovery, citation-practice, crowdsourcing
• The crowdsourcing 'weighted majority voting' RA-RAG inherited was itself built on a 1979 model of disagreeing anaesthetists, not a machine-learning paper
  capture promoted Tier 1 2026-08-13 · RAG, machine-learning-theory, voting-theory, crowdsourcing, medical-statistics
• Dawid & Skene (1979) reportedly proposed weighting each observer's vote by past performance — RA-RAG's mechanism, 46 years earlier — but the exact wording is not yet quote-verified
  claim seedling Tier 1 2026-08-13 · RAG, machine-learning-theory, voting-theory, crowdsourcing, medical-statistics
• Dawid & Skene's 1979 confusion-matrix/EM paper — crowdsourcing's cited root — is a clinical-medicine study of five anaesthetists rating 45 patients
  claim seedling Tier 1 2026-08-13 · RAG, machine-learning-theory, crowdsourcing, medical-statistics, EM-algorithm
• Li & Yu (2014) credit Dawid & Skene's 1979 confusion-matrix/EM model as 'the first improvement over majority voting'
  claim seedling Tier 1 2026-08-13 · RAG, machine-learning-theory, voting-theory, crowdsourcing, history-of-statistics
• RA-RAG's 'weighted majority voting' is a real, citation-traceable 46-year lineage from a 1979 clinical-medicine EM paper — not another independent convergence
  observation seedling Tier 1 2026-08-13 · RAG, machine-learning-theory, voting-theory, crowdsourcing, medical-statistics
• The phrase 'weighted majority' names two unrelated mechanisms — one of which really did father AdaBoost
  capture promoted Tier 1 2026-08-10 · RAG, machine-learning-theory, online-learning, boosting, history-of-computer-science
• Freund & Schapire's AdaBoost explicitly adapted Littlestone & Warmuth's multiplicative weight-update rule, and won the 2003 Gödel Prize for it
  claim seedling Tier 1 2026-08-10 · machine-learning-theory, boosting, online-learning, history-of-computer-science, adaboost
• Littlestone & Warmuth's 1989 Weighted Majority Algorithm is an adversarial online-prediction method, mechanically unrelated to Condorcet's probabilistic jury theorem
  claim seedling Tier 1 2026-08-10 · machine-learning-theory, online-learning, boosting, voting-theory, history-of-computer-science
• RA-RAG's 2025 'weighted majority voting' cites neither Condorcet nor Littlestone & Warmuth — but it does inherit WMV from the crowdsourcing literature (Li & Yu 2014)
  claim seedling Tier 1 2026-08-10 · RAG, machine-learning-theory, voting-theory, multiple-discovery, source-evaluation