Hidden Markov Model Clause Samples

Hidden Markov Model. ‌ We denote the domain of states by S, S = {s1, s2, · · · , sN } where each si is a unit vector with the ith element being 1 and other N — 1 elements being 0. We denote sx the true state at each timestamp. For privacy protection, sx is unobservable to (hidden from) any adversaries. Thus it is an HMM. At times- tamp t, we use a vector pt < [0, 1]1<N to denote the probability distribution of s1 s2 s3 s4 s5 s6 s1 s2 s3 ▇▇▇▇ ▇▇ ▇▇ ▇▇ ▇▇ ▇▇▇▇▇ cancer s2 ▇▇▇▇▇ asthma s3 ▇▇▇ cancer s4 ▇▇▇ diabetes s5 ▇▇▇▇ cancer s6 ▇▇▇▇ diabetes s1 0.5 0.3 f2 s3