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Katherine Morales

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2024
[b1]
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Katherine Morales:
Generative Markov models for sequential bayesian classification. (Modèles de Markov génératifs pour la classification séquentielle bayésienne). Polytechnic Institute of Paris, Palaiseau, France, 2024
2023
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Hugo Gangloff, Katherine Morales, Yohan Petetin:
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data. Comput. Stat. Data Anal. 180: 107663 (2023)
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Katherine Morales, Yohan Petetin:
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. MLSP 2023: 1-6
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Katherine Morales, Yohan Petetin:
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. CoRR abs/2309.03707 (2023)
2021
[c2]
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Hugo Gangloff, Katherine Morales, Yohan Petetin:
A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation. MLSP 2021: 1-6
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Katherine Morales, Yohan Petetin:
Variational Bayesian Inference for Pairwise Markov Models. SSP 2021: 251-255

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