Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
What should be a simple probability problem had them fooled.
Similar(59)
By assuming this ratio corresponds to the probability of forming a new BEA or BEB layer on a (001) surface at the tip of a crystal, the experimentally observed polytype distributions can be described by a simple probability function, suggesting that epitaxial crystal growth occurs stochastically in a state close to chemical equilibrium.
Caruana et al. [47] provided a clear example of how functions with 0/1 targets can result in regions where similar inputs are mapped to dissimilar targets, even when the training set is sampled from a simple probability distribution.
In each iteration, the (complex) reference distribution is approximated using a simple probability distribution; we illustrate the method by using a multinomial distribution, whose parameters are estimated by maximum likelihood estimation in each iteration, using the conformations generated in the previous iteration.
Missing data were imputed using a simple probability based method.
While the Markov transition probability is the joint probability conditioned on ( Pr left(D{W}_o^jleft x,yright)=qright) ), the probability of the co-occurrence matrix is a simple 2D joint probability.
For a linear survey estimator, the estimation of its design-based standard error for a simple probability sample design is straightforward and involves obtaining an exact expression of the true design-based variance and then estimating the true design-based variance by a design-based unbiased estimator.
The result is a simple approximation of the probability of failure without any limitation becoming feasible.
Under Model 1, the validation sample is a simple random sample with probability π i =0.4.
102 The result is a simple score that provides probability estimates that correspond to the score generated by the multivariate regression model.
The Kinetic Monte-Carlo [ 23] (or Gillespie algorithm [ 24]) is a simple algorithm for exploring the probability space of a Markov process defined by a set of transition rates.
Write better and faster with AI suggestions while staying true to your unique style.
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