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This component parameter gj, in conjunction with a priori fault probability, is used in a Bayesian framework to compute the posterior fault candidate probabilities.
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Fig. 3 Marginal posterior PDFs of fault parameters (varvec{theta }).
The author denies dogmatically, for example, that there is scientific evidence of a primary genetic developmental fault of the posterior superior portion of the acetabulum.
The posterior-anterior shift in aging.
A methodology for updating posterior probabilities is proposed for cases where fault conditions are rejected or retained on the basis of deterministic, collateral knowledge supplied by an end-user - the posterior knowledge.
In our prototype, we compute p(s|f) based on Bayesian formula: p(s|f)=p(f|s)×p s)/p(f). p(f|s) is the posterior probability that shows how likely a fault f occurred if a symptom s observed.
This motion causes lattice fault that acts as nucleating agents for posterior crystalline changes.
The results show that the proposed method can determine joint posterior probability density functions of wavelet parameters and is effective in identifying different bearing faults.
It is, however, analogous to the maldevelopment of the posterior superior surface of the acetabulum, regarded by many as the resultant of a primary developmental fault.
Posterior muscle scar shallow.
A posterior facilitates this.
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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