Sentence examples for explanation of data from inspiring English sources
A recent extension of Shepard's rational theory of dimensional generalization allows an explanation of data from both areas within a single framework.
If a period is divided into two sub periods and two models are used to explain them, the higher degree of freedom allows apparently better explanation of data.
We start with a discussion on the methods and an explanation of data handling and related preparatory work in Sect. 2. Section 3 reports empirical results, and Sect. 4 concludes.
Follow-up interviews were conducted with key respondents from both companies and universities to cross-verify specific material Explanation of data analysis A pair-wise case approach was applied so as to develop conclusions and insights.
Three results from recent IN SILICO experiments with the dopaminergic and serotonergic synapse models are described: (1) influence of substrate inhibition on the stability of dopamine and serotonin synthesis; (2) a predicted connection between serotonin reuptake transporter (SERT) density on terminals and tonic firing rates; (3) an explanation of data from autoreceptor knock-out experiments.
HZ and QX conceived the idea of the study, analyzed the data, and wrote the paper; YD and LZ designed the simulation; XL assisted in the construct of the model; and SL and YJ helped with the explanation of data and proof-reading of the manuscript.
Here, we provide additional metadata, detailed explanations of data pre-processing steps and quality control, as well as a basic framework for the bioinformatic analyses performed.
We added an explanation of the data, which are simulated data to visualize the principle idea underlying some methods, to the corresponding methods.
Until such an interpretation arises, with supporting data, the most parsimonious explanation of our data is that motivated by a priori theoretical predictions.
The book consists of 5 chapters, beginning with an introductory explanation of big data and deep learning techniques, followed by integration of big data and deep learning techniques and lastly the future directions.
