Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
To examine how the mutual information network filtered by significance level σ contributes to the performance of the Net-Cox model, we experiment with the complete mutual information network and those networks filtered by σ, where σ = [0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3] for each profile.
Similar(59)
Using these models we experiment with different scenarios to investigate the likely impact of alternative resource configurations on patient waiting times.
In these models we experimented with including combinations of linear, quadratic, and cubic terms for each variable and used the specification that best fitted the data in terms of the statistical significance of the individual terms and the explanatory power of the models.
Fig. 4 Example of generating process of large itemset L. When modeling the sensor, we experiment whether the density of the signal points according to radius ratio or angle ratio of a sensor affects the results of the proposed method.
To validate our detection model, we performed experiments with three types of attacks.
In order to evaluate our proposed model, we conduct experiments on graph classification tasks for neurological disorders, using fMRI and DTI brain networks.
In terms of the skin model, we conducted experiments using the Pointing'04 database and extracted head information at the fine level.
When building our classification models, we also experimented with different feature sets and classification algorithms.
To demonstrate the robustness of our proposed model, we extended the experiment in the previous section by perform the experiments in the environment where a robot has to perform different tasks continuously.
To evaluate the component model, we conducted an experiment with a catalog of constraints formalizing the topological conditions of architecture patterns.
To support this model, we devised an experiment to demonstrate that SQLLNAKYL-specific CD8+ T cells contribute to the neuropathology seen during ECM.
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