feat: complete wikification of War Commander batch 1&2 and final grey dot cleanup

2026-04-27 18:58:22 +09:00
parent 3424166ea2
commit 6b86b0da4c
2706 changed files with 9074 additions and 7273 deletions
@@ -1,6 +1,6 @@
 ---
 id: P-REINFORCE-AUTO-BIVA-001
-category: "[[10_Wiki/💡 Topics/AI]]"
+category: "10_Wiki/💡 Topics/AI"
 confidence_score: 1.00
 tags: [auto-reinforced, bias-variance, machine-learning-foundations, overfitting, underfitting, model-performance]
 last_reinforced: 2026-04-20
@@ -27,6 +27,6 @@ last_reinforced: 2026-04-20
 - **정책 변화(RL Update)**: 보상 함수 설계 정책에서, 모델의 분산을 줄이기 위해 데이터 증강(Augmentation)이나 규제화(Regularization)를 강제하는 '안정성 지향적 학습 정책'이 필수적으로 적용됨.

 ## 🔗 지식 연결 (Graph)
- [[Standardization vs Innovation]], [[stochastic gradient descent]], [[Foundational Models]], [[Pattern Recognition]], [[Stability vs Flexibility]]
+- [[Standardization vs Innovation]], [[stochastic gradient descent]], Foundational Models, Pattern Recognition, [[Stability vs Flexibility]]
 - **Modern Tech/Tools**: Cross-validation, Early stopping, Dropout, L1/L2 Regularization.
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