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In the words of the social psychologist Roy Baumeister, humans have an "optimal margin of illusion".
This study was designed to investigate the distance between extra-pseudocapsule cancer lesions and primary tumors, and to suggest the optimal margin of normal parenchyma in NSS for RCC 4 cm or less.
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Support vectors are found to provide optimal
The SVM algorithm uses optimization techniques to find the surface that gives the optimal margin between the points of the two classes [ 20, 21].
Thus, we propose a method with a model assessment of the interplay between various classification decisions using probability, corresponding decision costs, and quadratic program of optimal margin classifier called: Bayesian Support Vector Machines (BSVMs) learning strategy.
It should be appreciated that exactly what defines a negative margin ('complete excision') differs from centre to centre and that variation will itself enable an evaluation of optimal margin clearance when outcome data become available.
Vicini et al. suggested that a lesser extent of the excision, for cosmetic reasons, might be the cause of less optimal margin resection in younger patients.
We solve the optimal design margin of the HEN, thereby providing an operational space for optimal control.
The percent area of optimal margins after thermomechanical loading between composite and enamel in each group was as follows: group 1, 86.2% ± 12.3% for canines and 95.5% ± 3.5% for molars; group 2, 95.3% ± 2.1% for canines and 96.2% ± 2.7% for molars; and group 3, 95% ± 0.9% for canines and 86.4% ± 3.2% for molars.
Section 4 shows the analyses of the proposed MATP settings methods with a view to set the optimal margins.
The support vectors are those data points that lie closest to the decision surface and the kernel functions are to construct optimal hyperplane, where margin of separation (i.e. closest data point) is maximized.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com