Results 1 to 10 of about 176,617 (264)
Convolutional kernel function algebra
Frontiers in Computer Science, 2022 Many systems for image manipulation, signal analysis, machine learning, and scientific computing make use of discrete convolutional filters that are known before computation begins.
Edward Stow, Paul H. J. Kelly
doaj +4 more sources
Developing a Strategy for Buying and Selling Stocks Based on Semi-Parametric Markov Switching Time Series Models [PDF]
Iranian Journal of Finance, 2021 The modeling of strategies for buying and selling in Stock Market Investment has been the object of numerous advances and uses in economic studies, both theoretically and empirically.
Hossein Naderi +3 more
doaj +1 more source
Weighted p-norm distance t kernel SVM classification algorithm based on improved polarization
Scientific Reports, 2022 The kernel function in SVM enables linear segmentation in a feature space for a large number of linear inseparable data. The kernel function that is selected directly affects the classification performance of SVM.
Wenbo Liu, Shengnan Liang, Xiwen Qin
doaj +1 more source
Studies of different kernel functions in nuclear mass predictions with kernel ridge regression
Frontiers in Physics, 2023 The kernel ridge regression (KRR) approach has been successfully applied in nuclear mass predictions. Kernel function plays an important role in the KRR approach.
X. H. Wu
doaj +1 more source
International Journal of Advanced Robotic Systems, 2020 The multivariate statistical method such as principal component analysis based on linear dimension reduction and kernel principal component analysis based on nonlinear dimension reduction as the modified principal component analysis method are commonly ...
Liming Li +3 more
doaj +1 more source
Gazi Üniversitesi Fen Bilimleri Dergisi, 2021 Weirs are the oldest and most practical structures used to control, regulate, and measure flow in rivers or open channels. The ratio of the actual discharge, smaller than the theoretical discharge due to the separation zone and boundary layer development,
Oğuz ŞİMŞEK +2 more
doaj +1 more source
Computer Graphics Forum, 2018 AbstractFunctional maps provide a means of extracting correspondences between surfaces using linear‐algebraic machinery. While the functional framework suggests efficient algorithms for map computation, the basic technique does not incorporate the intuition that pointwise modifications of a descriptor function (e.g.
Wang, L. +3 more
openaire +2 more sources
New Reproducing Kernel Functions [PDF]
Mathematical Problems in Engineering, 2015 Some new reproducing kernel functions on time scales are presented. Reproducing kernel functions have not been found on time scales till now. These functions are very important on time scales and they will be very useful for researchers. We need these functions to solve dynamic equations on time scales with the reproducing kernel method.
openaire +4 more sources
Widely Linear Kernels for Complex-valued Kernel Activation Functions [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Accepted at ICASSP ...
Scardapane, S +3 more
openaire +2 more sources
Short-Term Load Forecasting Based on Integration of SVR and Stacking
IEEE Access, 2020 Selection of the kernel function by the support vector regression (SVR), for the purposes of load forecasting, is affected by the power load characteristics.
Zhenqi Tan +5 more
doaj +1 more source