Exact(5)
Several state and federal scenic highway programs were first reviewed to determine what descriptors were most widely used in their assessment efforts.
Part of the problem is the lack of a controlled vocabulary regarding descriptors; there is no easy way of defining what descriptors were used, which the underlying algorithms were, and how these were implemented.
When you think of your thighs, what descriptors comes to mind?
A number of issues were thoroughly discussed, such as how to translate the DPSEEA framework into descriptors that would be both general and specific enough, how to define categories of information to be included, and what descriptors are essential.
In addition, we argue not only that there is value in better understanding what descriptors were successful at predicting activity class, but also that it is useful to analyze the "classification outliers"—that is, those chemicals that the models failed to predict accurately.
Similar(55)
Therefore, in a real setting, especially when unseen data is likely to be presented in a future, users do not have a certain way of knowing what descriptor selection method would work best.
These include the type of rating scale, who is going to use the rating scale, what the descriptors should look like and how the scores should be reported.
In this paper we approach the question of what molecular descriptors could improve these predictions and whether external data sets are appropriate for further training.
can write resumes (Please read the script and then judge to what extent the student writer is competent in performing what the descriptor says: 1 = not competent at all; 2 = less competent; 3 = competent; 4 = more competent; 5 = very competent) Thanks for your contribution!
In what concerns Fourier descriptors, contours are previously normalized to zero mean and then, once computed the Fourier descriptors, the performance of the system using different number of frequency components was assessed and we chose the 20 low frequency components.
We proceed focusing on the specific attributes of each method that differentiate the experimental set-ups and will allow us to get some insight into what type of descriptors are best suited for CBIR, under different circumstances.
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