Sentence examples for more stable features from inspiring English sources

Since a model with more stable features should require less regularization, we expected that it would be useful to optimize σ and c together.

The SERS-active sols prepared herein presented not only richer spectral features for peak assignment which was beneficial for structural analysis and analogue discrimination but also more stable features which would improve the robustness of the TLC-SERS method.

For Tables 1, 2, and 3, compared with other methods, SIP-FS significantly achieves stability improvement for each class (except for "dense residential" and "medium residential" shown in Table 3) as well as the entire dataset, indicating that SIP-FS helps select much more stable features.

The second step aims to further explore the intrinsic pattern of NNE features and remove redundant information to obtain more stable NEM features.

While it may be argued that state-dependent and brain tissue-dependent features are avoided by use of the cell lines, more stable genetic features may be prominent.

The methods in the third category generate more stable gait features and are less sensitive towards noise as compared to the methods in the first category.

The experimental approaches used during this investigation allowed us to separate the vintage-specific effects from those caused by more stable environmental features, whereas effects potentially caused by the interaction between these components were not revealed by our analysis.

In contrast to most of the methods in the literature, the proposed approach does not require segmentation/classification processing stages of the audio-visual data, avoiding the error propagation related to these procedures, resulting in faster and more stable visual feature predictions.

We know it has been rocky and frustrating at times, but your feedback has been invaluable to us, and we've been working hard to make Wave more stable and feature rich over the past few months!

In the same time the method generates more stable ordered feature lists in comparison with existing methods.

As shown in the feature of Tables 1 and 2, the normal random imputation dataset (nr.i) resulted in a considerably more stable selection of features compared to the mean imputation unified dataset (m.i).