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Discover LudwigThe phrase "assumed hmm" is not correct and does not convey a clear meaning in written English.
It may be used informally in conversation to express uncertainty or contemplation, but it lacks clarity in writing.
Example: "I assumed hmm, maybe he meant something different, but I wasn't sure."
Alternatives: "I suppose" or "I guess."
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The Gabor features used within the baseline continuous HMM assume that all scales and orientations contribute equally in characterizing alarm signatures.
The HMM assumes that the states themselves are mutually exclusive.
Given estimates of θ, we assume the ancillary HMM is independent of the main HMM.
Deaths from unrelated causes were also excluded as these were assumed to be constant with or without HMM.
Different HMM states were assumed to be different climate conditions, which would lead to different types of observed values.
HMM training: The above clusters are assumed as outputs (O) of Markov models.
The ancillary HMM is a single-layer HMM where the K ancestral haplotypes (the θ matrix) are assumed as observed (recall K is the number of lower clusters).
The CPM and the HMM both assume that the observed data was generated by a hidden process consisting of a fixed number of hidden states.
Recall that EBSeq-HMM assumes a mixture model with a Markov component m1 and a non-Markov component m2.
Continuous HMM (CHMM): we assume that each state has N g Gaussian components.
A basic familiarity with the use of HMMs and associated terminology is assumed [3].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com