Your English writing platform
Discover LudwigSuggestions(1)
Exact(4)
For a very sparse probability density function, Hyvärinen [20] used the following function to represent a sparse distribution: (14).
We have previously used the following function to measure the global clusteredness of the component operons of the ith pathway, c i [19], (1) c i = ∑ j = 1 M i d ij where M i represents the number of operons in the ith pathway and d ij is the distance between the jth operon and [ M i / 2 ] th operon (i.e., median operon) in the ith pathway.
In his proof, he has used the following function: (2.1).
To produce a continuous output from NN for analysis by ROC, we used the following function: score= D−− D +, where for a given test sample, D−is equal to the minimum distance between the test sample and all negative training samples, and D + is equal to the minimum distance between the test sample and all positive training samples.
Similar(56)
We use the following function to estimate how water demand changes with price: w = α p ϵ Open image in new window (1).
As stated before, we use the following function to determine the number of iterations: Z ( E b / N 0 ) = 2 ( 5 ( E b / N 0 ) / 5 ). Figure 16 HNN-TE BPSK and 4-QAM performance in a long channel at a fixed speed for various numbers iterations.
28 The probability that an infectious individual infects a susceptible was calculated using the following function.
In the present study, we use the following function suggested by Hu and Zhang [ 3]: (3) where α is a tuning parameter.
It is computed at the voxel level using the following function [ 40]: S = S0 × exp(− b × ADC), where S0 is the pixel value at b = 0 and b is the diffusion gradient factor.
For Length → ∞, the random score approaches a value larger than 0. Using the following function one can estimate the random GDT-TS score for a domain of 'Length' residues: In addition to giving a reference point for prediction of difficult targets, these random scores are utilized when a server does not provide a model for a particular target.
For the nonlinear regression, we use the following mapping function [39]: fleft (x right)=beta_{1}cdot left (frac{1}{2}-frac{1}{1+text{exp}left (beta_{2}cdot left (x-beta_{3} right) right)} right)+beta_{4}cdot x+beta_{5} (17).
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