Sentence examples for knowledge into the model from inspiring English sources
We do not encode any prior knowledge into the model, resulting in a very general method, without sacrificing the performance.
The geologist constructs models based on a career of observation of geological phenomena, thereby incorporating tacit knowledge into the model.
As opposed to AR and ARMA models used in [6] this gives the advantages of incorporating prior knowledge into the model [5, 7].
The principal innovation behind the proposed method is the embedding of the prior knowledge into the model, instead of directly predicting the steel temperature using machine learning techniques which is commonly used in the previous steel temperature prediction models.
To evaluate the impact of incorporating existing knowledge into the model, we tested another version of BEST in which we fixed the indicator variables of five real target genes and five true foreground experimental conditions as 1.
These approaches are not global due to the 2-stage process and none of them have considered incorporating prior knowledge into the model building.
Constructing virtual 3D historical scenes from literature and records is a very challenging problem due to the difficulty in incorporating different types of domain knowledge into the modeling system.
However, the prior knowledge incooperated into the model could be changed.
Representative products of the multi-modal task analysis (MMTA) method presented here are based on considerations for inputs necessary to encode expert knowledge into the task model component of the ITS being built.
In this review, we focus on high dimensional supervised and unsupervised data analysis methods that include prior knowledge into the mathematical model used for the analysis of metabolomics or transcriptomics data.
As PPI networks are an important case of complex networks and exhibit global properties such as 'small-world', 'scale-free' and relatively larger clustering coefficient, in this paper, we try to integrate the clustering coefficient feature as prior known knowledge into the computational model.
