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Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence., , and . ICASSP, page 3992-3995. IEEE, (2011)Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models., , and . ICPRAM, page 315-322. SCITEPRESS, (2022)Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains., , , , and . ICEIS (1), page 405-414. SciTePress, (2017)On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains., , and . ICAART (3), page 725-728. SCITEPRESS, (2022)Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise., , , , and . ICEIS (Revised Selected Papers), volume 321 of Lecture Notes in Business Information Processing, page 127-144. Springer, (2017)Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images., , , and . IPTA, page 1-6. IEEE, (2020)Using the Naive Bayes as a discriminative classifier., , and . CoRR, (2020)Using the Naive Bayes as a discriminative model., , and . ICMLC, page 106-110. ACM, (2021)Linear chain conditional random fields, hidden Markov models, and related classifiers., , and . CoRR, (2023)Unsupervised segmentation of switching pairwise Markov chains., , and . ISPA, page 183-188. IEEE, (2011)