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1 WHY MAKING BAYESIAN NETWORKS BAYESIAN MAKES SENSE. Dawn E. Holmes Department of Statistics and Applied Probability University of California, Santa Barbara
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Review: Hidden Markov Models Efficient dynamic programming algorithms exist for –Finding Pr(S) –The highest probability path P that maximizes Pr(S,P) (Viterbi)
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