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Two-level Mixtures of Markov Trees

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Academic year: 2021

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Figure

Fig. 1. A comparison between EM-MT and EM-Bag-MT shows the superiority of the latter for n = 200, m = 2 (m k = 10 ∀k) and p ranging from 120 to 8000
Fig. 2. The number of samples influences the relevance of the EM algorithm. When samples are few, a single Chow-Liu tree is better than a mixture of 2 maximum  likeli-hood trees, but the opposite is true for larger samples.

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