즉, 아래와 같은 Poly Tree 구조 안에 C 노드와 E 노드가 Evidence가 주어졌을 때, \( P(B|C,E) = ? \)
알고리즘은 각 노드 간 Down or Upward Message Passing과 Data Fusion 단계를 거쳐 각 노드의 확률 분포를 추정하기 때문에 병렬 연산을 위해서 Bulk Synchronous Parallel 모델이 대단히 적합하다 할 수 있다.
문득, Google의 DistBelief는 이러한 분산 베이지안 네트워크의 메시지 전달 방식이라 지어진게 아닌가 싶다. 그나저나 요즘의 나는 트리 탐색 구현 정도나 할 수 있을까 모르겠네?
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