Sentence examples for implementation of the supervised from inspiring English sources

The implementation of the supervised real time evolution scheme has been performed using Matlab and the commercial simulation package HYSYS.Plant, taking advantage of their communication capabilities (COM technology).

LR performed the unsupervised analysis and helped in the design and implementation of the supervised analysis.

SMO [ 23] is the Weka implementation of the supervised learning function-based method Support Vector Machines (SVM).

Another limitation is the implementation of the supervised program in control HCCs prior to this study, which has potentially influenced the degree of re-invention in the control HCCs.

Many methods of integration have been developed for the implementation of MCS in the supervised approach of classification.

Table 1 shows the spectral angle distance (SAD) [3] between the most similar endmembers detected by the original ENVI implementation (using the supervised -dimensional visualization tool to derive the final set of endmembers), the PPI approximation described in Section 3 (implemented in the C++ programming language), and our FPGA-based implementation.

In this scenario, the design and implementation of a supervised machine learning system to predict and quantify cancer progression or response conditions by introducing a novel feature set that models the underlying clinical context is described.

Is there any statistically significant difference between oral hygiene levels of elderly residents in (residential) care homes with supervised implementation of the guideline when compared to those in (residential) care homes without supervised implementation of the guideline?

2. Is there at care home level any statistically significant difference between attitude and knowledge level of nurses and nurse aides of (residential) care homes with supervised implementation of the guideline when compared to those in (residential) care homes without supervised implementation of the guideline?

I used the default scikit-learn implementation of six supervised classification algorithms: Random Forests with 10 trees and maximum depth of 5 [ 23], linear Support Vector Machines (SVMs) with the ℓ norm and C of 0.1, AdaBoost [ 34] with 50 Decision Trees and learning rate 1, Gaussian Naive Bayes, Decision Trees with maximum depth 5, and K-Nearest Neighbors with k of 3.

The overall aim of this study is to compare a supervised versus a non-supervised implementation of the guideline in The Netherlands and Flanders Belgiumm).