Browsing by Subject "Supervised Machine Learning"

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Semi-supervised learning of hidden markov models for biological sequence analysis

Tamposis I.A., Tsirigos K.D., Theodoropoulou M.C., Kontou P.I., Bagos P.G. (2019)

Motivation: Hidden Markov Models (HMMs) are probabilistic models widely used in applications in computational sequence analysis. HMMs are basically unsupervised models. However, in the most important applications, they are ...