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jayarnim · Sep 16, 2024 · 234262e · 234262e
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diff --git a/_posts/MachineLearning/01-12-Bagging.md b/_posts/MachineLearning/01-12-Bagging.md
diff --git a/_posts/MachineLearning/01-13-Boosting.md b/_posts/MachineLearning/01-13-Boosting.md
diff --git a/_posts/MachineLearning/2024-01-15-Ensemble.md b/_posts/MachineLearning/2024-01-15-Ensemble.md
@@ -151,15 +151,15 @@ y(x)
 
         $$\begin{aligned}
         \mathcal{D}
-        = \left\{ x_{1}, x_{2}, \cdots, x_{N} \right\}
-        = \Lambda_{1} \cup \Lambda_{2} \cup \cdots \cup \Lambda_{K}
+        &= \left\{ x_{1}, x_{2}, \cdots, x_{N} \right\}\\
+        &= \Lambda^{(1)} \cup \Lambda^{(2)} \cup \cdots \cup \Lambda^{(K)} \quad \text{s.t.}\quad \Lambda^{(i)} \cap \Lambda^{(j \ne i)} = \emptyset
         \end{aligned}$$
 
     - $m$ 번째 모형의 훈련용 데이터 세트를 다음과 같이 구성함
 
         $$\begin{aligned}
         \Omega^{(m)}_{\text{trn}}
-        &= \bigcup_{k=1}^{K}{\Lambda_{k}}
+        &= \left\{\Lambda^{(k)}_{j} \mid \Lambda^{(k)} \subseteq \mathcal{D}, j \in \{1, 2, \cdots, K\}\right\}
         \end{aligned}$$
 
 - **OOB(`O`ut `o`f `B`ag)** : 부트스트랩에 포함되지 않는 데이터 블록 집합으로서 검증용 데이터 세트로 활용됨