Introduction to DBNs Assumptions The process is modeled as discrete time-slice At time 1, state is X (1), at time t, state is X (t) P(X (1),…, X (t) )
{"Image DocumentName": "Introduction to DBNs Assumptions", "Image ImageDescription": "The process is modeled as discrete time-slice. At time 1, state is X(1) , at time t, state is X(t) P(X(1),\u2026, X(t))=P(X(1)) P(X(1)|X(2) )\u2026P(X(t)|X(1),\u2026, X(t-1)) Markov property. Given current state, the next state is independent of previous states. P(X(1),\u2026, X(t))=P(X(1)) P(X(1)|X(2) )\u2026P(X(t)|X(t-1))", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}