2nd/10_Wiki/Topics/AI_and_ML/Uncertainty-Quantification.md

id, title, category, status, canonical_id, duplicate_of, aliases, source_trust_level, confidence_score, verification_status, tags, last_reinforced, github_commit

id	title	category	status	canonical_id	duplicate_of	aliases	source_trust_level	confidence_score	verification_status	tags	last_reinforced	github_commit
wiki-2026-0508-uncertainty-quantification	Uncertainty Quantification	10_Wiki/Topics	duplicate	epistemic-uncertainty	Epistemic-Uncertainty	UQ	A	0.9	redirected	duplicate uncertainty ml	2026-05-10	pending

Uncertainty Quantification

이 문서는 Epistemic-Uncertainty 의 중복본입니다. Canonical 문서로 redirect.

핵심 요약 (specialization aspects)

• UQ scope: 매 epistemic (model uncertainty, reducible) + aleatoric (data noise, irreducible) 의 통합 frame.
• Methods: MC dropout, deep ensembles, conformal prediction, Bayesian NN, evidential learning.
• 2026 state: conformal prediction 의 distribution-free guarantee 가 production default.
• 매 epistemic 단독 deep dive 의 X — 매 Epistemic-Uncertainty 참조.

🔗 Graph

• 부모: Epistemic-Uncertainty (canonical)
• Adjacent: Aleatoric-Uncertainty · Conformal-Prediction · Bayesian-Deep-Learning

🕓 변경 이력

날짜	변경
2026-05-08	Phase 1
2026-05-10	중복 처리 — canonical 문서로 redirect