Sentence examples for methods its performance from inspiring English sources

Although the affine-constraint method performs better than other methods, its performance is not satisfactory for training purposes.

However, the HMM approach requires significant training to perform well [19] and, like all model-based methods, its performance depends on how well the chosen model parameters represent the human action.

Inspecting the performance of local modeling without training set expansion, it is observed that although local modeling usually outperformed the other previous methods, its performance with the integration kernel was unsatisfactory.

For the proposed method, its performance also degrades.

In order to be an empirical method, its performance depends on the environment in which the MU is going to be located.

These results suggest that the co-expression based methods are only moderately correlated with the corresponding tissue based methods, and although Essien et al.'s method appears to best agree with Liao and Zhang's method, its performance is affected by the size of the reference ortholog set (i.e., number of the nodes in CCNs).

Although subsequent work has improved upon the SGPP method through different variants of the method, we believe if similar variations were to be applied to the GCPV method, its performance would improve similarly.

To demonstrate advantages of the proposed method, its performance was compared with that of the random walk method [ 13], which utilized a node's global neighborhood in a network to rank genes.

Although LD information is not directly used in the Single_Step method, its performance was influenced by the level of LD since the simulated populations with a higher level of LD presented distributions of allele frequencies with greater densities at more extreme allele frequencies (see Additional file 2: Figure S2).

Although PeRC does not always outperform other methods, its improved performance over the sparse group lasso is encouraging for rare variant penalized regression.

Since BioSim is particularly designed to be more sensitive to the number and specificity of annotation terms in contrast to the other methods, its overall performance depends more on the annotation datasets and the individual annotation terms.