Exact(3)
Two types of examples (compliance and stress minimization) were solved based on the chosen objective functions.
To efficiently describe the proposed MSA process, we show two types of examples using an algorithm and a figure.
SVM learns the classifier by mapping the input training samples into a possibly high-dimensional feature space and seeking a hyperplane in this space, which separates the two types of examples with the largest possible margin, i.e. distance to the nearest points.
Similar(57)
Three types of examples are presented: (a) trial designed to confirm the overall results of a meta-analysis; (b) trial designed to confirm an interaction between a covariate and the treatment effect detected in a meta-analysis; (c) trial designed to confirm an interaction between a treatment parameter and the treatment effect detected in a meta-analysis.
The total numbers of substrates, positive examples and two types of negative examples in the training sets are shown in the Table 2.
Herein, taking Nissan Leaf and BYD E6 (two types of EV) as examples respectively, the parameters are given in Table 1, and the aging affect is ignored.
Figure 3 shows two types of cells and examples of their different physical locations.
For one type of example, one could point out that if there was a sufficiently large and persistent majority among the United States electorate, nothing could contain them: they could elect Presidents and legislators who would amend the Constitution and, through those same officials, appoint judges who would interpret the (revised or original) Constitution in a way amenable to their interests.
Location model: the naive independence model can be modified to allow for some dependence between the two types of data, for example, by using a location model (Hunt and Jorgensen, 1999) as was proposed by Ng and McLachlan (2008).
We have already illustrated (see Table 3) that there is a big difference between the two types of customers, for example, with respect to the collateralization ratio.
However, the combination of the online medium and the home-base also exacerbate the challenges manifested in the two types of business, for example, engendering feelings of isolation and difficulties in establishing trust (Anwar and Daniel, 2014).
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