Sentence examples for binary values and the from inspiring English sources

We argue that, given two models (A) and (B), where (A) learns to predict continuous values and model (B) learns to predict binary values, and the performance of model (A) in terms of (AUC) and (AUPR) is as good as the performance of model (B), model (A) is advantageous because it does not need to be retrained when the threshold for the dataset is changed.

One difference is that most works focus on the source with binary values and use the EXIT chart [26, 27] or the protograph EXIT (PEXIT) [16] for performance analysis, while [28, 29] considered the case with the source of non-binary values, but the performance analysis of decoding was not provided.

The actual drop rates have been determined by thresholding the magnitude of the raw echo data, converting it to binary values and counting the non-zero values before and after undersampling. Figure 8 Actual drop rates of the simulation results and average simulation outcome of SSIM values.

Most literatures considers the social relationships are binary value, i.e., 0 or 1.

Well, in a normal system-on-chip, the traditional flip-flops (circuits that are used to store binary values) and SRAM require power to retain their values.

Each channel has 4-bit binary values and each binary value is divided into true and inverted signals as shown in Figure 4a.

The components of x → i are either binary valued and represent the presence or absence of protein domains, or continuous-valued and represent the frequency of a particular protein domain or gene family relative to the total number of annotations.

The clinical variable y was assigned a binary value and was associated with the first four TFs and their target genes.

It is therefore convenient to encode a SNP allele as a binary value and represent haplotypes as binary sequences.

During this process, the flame portion of the image is set to white (binary value 1) and the background is set to black (binary 0).

The feedback to the perceptron weights (cf. Equation (3)) is conditional on the binary values of the given and estimated class labels y and (hat{y}), respectively.