Sentence examples for methods when combined from inspiring English sources

The results clearly show the benefit of such automated patent analysis methods when combined with appropriate data sources.

Their approach outperforms other existing methods when combined with Deep Learning techniques such as stacking and convolution to learn hierarchical representations.

These results demonstrate that deep neural nets, when tuned accordingly, are capable of achieving strong performance for modeling bioactivity data for small molecules and outperform popular machine learning methods when combined with simple circular fingerprints as molecular descriptors.

This paper concludes that a number of simplified methods, when combined, can be used to estimate the impact that a particular display may have on the operator's ability to perform a function accurately and effectively.

Commonly available metabolomic methods, when combined, can now routinely identify and quantify 36% of the 'detectable' human CSF metabolome.

Our results highlight the utility of high-resolution, cardiac-gated fMRI methods when combined with precise hypotheses.

This again demonstrates the superiority of particle filter method when combined with analytical method for generations of response samples.

ROC curves of the estimated binding probabilities for the proposed data fusion method when combined with (a) DNA duplex stability data, (b) DNA duplex stability data and regulatory potential, and (c) DNA duplex stability data and evolutionary conservation data.

This method, when combined with the concept of effective connectivity, can provide information on the strength and direction of the functional interactions that take place between identified brain regions of a putative network.

This method, when combined with analytical techniques, for example the perturbation approach, forms a powerful tool for finding periodic solutions of non-linear systems and the analysis of their stability in closed form.

As shown in this figure, the second-order IFCP method is superior in the amplitude of the error (for both mean and variance) than the first-order method, when combined with both the MC and MLMC discretization of the probability space.