... Quasi-reflection learning arithmetic optimization algorithm firefly search for feature selection. Heliyon 9(4) https://doi.org/10.1007/978-981-99-9524-0_21 12.63 MAPE 6.25 (continued). The eXtreme Gradient Boosting Method Optimized by ...
... quasi-flat zones to angular data. Both theoretical and practical issues have been addressed. Two distinct approaches have been introduced: angular distance based and reference angle based methods. The former relies on arc lengths for ...
... methodology provides a data driven method for computing the bandwidth . On the contrary , polynomial spline techniques do not have a method for choosing the number and location of nodes and the proportionality coefficients for the end ...
... quasi-identifiers and their related values of K. 5. Proposal. In this section, we formalise the context and privacy ... of data based on the privacy level of criticality. This corresponds to classifying IP addresses, ports and all ...
... based on a quasilinear kernel, which is constructed from a pre-trained neural network (NN). By using the quasi-linear kernel, the proposed MLFS oversampling method avoids computing directly the Euclidean distances among the samples when ...
... potentials for DNA breathing , ” Eclética Química Journal , vol . 43 , p . 44–49 , 2018 . 28. K. Law , A. Stuart and ... method , vol . 1 , Siam , 2003 . 41. D. A. Knoll and D. E. Keyes , " Jacobian - free Newton – Krylov methods ...
... data to simulate transonic effects . Finite difference solutions have been applied to the rotor problem and are capable of computing nonlinear compressible flows with shocks . The quasi - steady full potential finite difference flow ...
With this book, they aim to encourage future research in machine learning, statistics, and engineering that strives to create truly autonomous learning machines able to learn under non-stationarity.
This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known.
... method was employed to determine the main generator node sensitive to the load parameters and load power changes ... Quasi-static time-series test feeder for PV integration analysis on distribution systems,” in Proccedings of the ...