23 citations · 23 across the 5 of their papers we have counts for
5 papers
RBF Kernel Parameter Formula for Data Classification Methods
Lakhdar Remaki
Radial Basis Function (RBF), or Gaussian, kernels are among the most widely used parametric kernels in machine learning, particularly in methods such as Support Vector Machines (SV…
An alternative to SVM Method for Data Classification
Lakhdar Remaki
Support vector machine (SVM), is a popular kernel method for data classification that demonstrated its efficiency for a large range of practical applications. The method suffers, h…
Adomian Decomposition Based Numerical Scheme for Flow Simulations
Imanol Garcia-Beristain, Lakhdar Remaki
This paper proposes a numerical method based on the Adomian decomposition approach for the time discretization, applied to Euler equations. A recursive property is demonstrated tha…
Waves Speed Averaging Impact on Godunov type Schemes for Hyperbolic Equations with Discontinuous Coefficients: The linear scalar case
Lakhdar Remaki
This paper deals with the waves speed averaging impact impact on Godunov type schemes for linear scalar hyperbolic equations with discontinuous coefficients. In many numerical sche…
Lagged and instantaneous dynamical influences related to brain structural connectivity
C. Alonso-Montes, I. Diez, L. Remaki +6
Contemporary neuroimaging methods can shed light on the basis of human neural and cognitive specializations, with important implications for neuroscience and medicine. Different MR…