libhmm is a C++20 library implementing correct MLE emission M-steps for 16 distributions in HMMs via Baum-Welch, with log-space forward-backward/Viterbi and SIMD acceleration.
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A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.
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libhmm: A Modern C++20 Library for Hidden Markov Models with Correct MLE Emission M-Steps
libhmm is a C++20 library implementing correct MLE emission M-steps for 16 distributions in HMMs via Baum-Welch, with log-space forward-backward/Viterbi and SIMD acceleration.