The SFA was then integrated with the LSSVM to create a metaheuristic optimized classification model.
The idea is simple, of course: You point your phone's camera at something and the app attempts to identify it using an enormous but highly optimized classification agent trained on tens of millions of images.
Support Vector Machine (SVM) is a classifier designed to achieve optimized classification accuracy.
Comprehensive assigning method is adopted to determine the weights of evaluation indices, and a FAHP model is established for optimized classification of surround rock.
We used this database to train and test an optimized binary classification system (named symphony), which integrates predictions from a variety of in silico methods and can predict the risk of ccRCC associated with VHL missense mutations with high sensitivity and specificity.
The procedures are as follows: (a) Data initialization: define fuzzy clustering set as c = 2 and optimized classification threshold as ε = 0.3, initialized detection machine number as n, minimum detection frequency of low-risk data as l min, maximum detection frequency of high-risk data as l max, time intervals as Δt.
If the value of objective function was no lower than the given optimized classification threshold, the process was repeated; if the value of objective function was lower than the given optimized classification threshold and no changes of any cluster was observed, the process ends.
The optimized classification function parameters were then used to validate the statistical power to detect novel putative fragments.
An optimized binary classification system (symphony), which integrates predictions from five in silico methods, can predict the risk of ccRCC associated with VHL missense mutations with high sensitivity and specificity.
Howe et al. investigated an alternative SVM-optimized classification approach, which combined multiple metrics with acceptable predictive attributes in a total of 115 defibrillations from 41 patients [ 24].
We have proposed an optimized alignment and classification method enabling the use of NGS data with repeatable outputs.
