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The impact of the exponential Kernel’s bandwidth parameter on learning algorithms [PDF]

Scientific Reports
Exponential kernels have been used considerably in statistics, machine learning, and artificial intelligence for tasks such as kernel principal component analysis (Kernel PCA), support vector machines(SVM), visualization, clustering, and pattern ...
Mahdi A. Almahdawi
doaj   +2 more sources

Functional Ergodic Time Series Analysis Using Expectile Regression

Mathematics, 2022
In this article, we study the problem of the recursive estimator of the expectile regression of a scalar variable Y given a random variable X that belongs in functional space.
Fatimah Alshahrani, Ibrahim M. Almanjahie, Zouaoui Chikr Elmezouar, Zoulikha Kaid, Ali Laksaci, Mustapha Rachdi   +5 more
doaj   +1 more source

Nonparametric Estimation of the Expected Shortfall Regression for Quasi-Associated Functional Data

Mathematics, 2022
In this paper, we study the nonparametric estimation of the expected shortfall regression when the exogenous observation is functional. The constructed estimator is obtained by combining the double kernels estimator of both conditional value at risk and ...
Larbi Ait-Hennani, Zoulikha Kaid, Ali Laksaci, Mustapha Rachdi   +3 more
doaj   +1 more source

Scalar-on-Function Relative Error Regression for Weak Dependent Case

Axioms, 2023
Analyzing the co-variability between the Hilbert regressor and the scalar output variable is crucial in functional statistics. In this contribution, the kernel smoothing of the Relative Error Regression (RE-regression) is used to resolve this problem ...
Zouaoui Chikr Elmezouar, Fatimah Alshahrani, Ibrahim M. Almanjahie, Zoulikha Kaid, Ali Laksaci, Mustapha Rachdi   +5 more
doaj   +1 more source

Rancang Bangun Antena Semi Circular Dengan Teknik GDS (Defect Ground Structure) untuk Meningkatkan Bandwidth Antena Pada Aplikasi WIFI

Jurnal Jaringan Telekomunikasi, 2021
Kebutuhan yang semakin meningkat akan banyaknya data yang dikirim dan kecepatan pengiriman data melalui teknologi wireless mengakibatkan tingginya minat terhadap perangkat dengan Bandwidth lebar.
Trushero Kharisma Claudiani, koesmarijanto koesmarijanto, hendro darmono   +2 more
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Analisis Kinerja Sistem Televisi Digital Didasarkan Pada Standar International Telecomunication Union

Jurnal Jaringan Telekomunikasi, 2021
Penelitian ini bertujuan untuk mengetahui tentang pengaruh pemilihan dari nilai parameter DVB-T2 terhadap kinerja sistem. Parameter yang digunakan untuk yaitu parameter Bandwidth, FFT size, Guard Interval, dan Teknik Modulasi.
Jauhariyatul Fajriyah, Hudiono Hudiono, Nugroho Suharto   +2 more
doaj   +1 more source

The Optimal Bandwidth Parameter Selection in GPH Estimation

Journal of Mathematics, 2021
In this paper, the optimal bandwidth parameter is investigated in the GPH algorithm. Firstly, combining with the stylized facts of financial time series, we generate long memory sequences by using the ARFIMA (1, d, 1) process.
Weijie Zhou, Huihui Tao, Feifei Wang, Weiqiang Pan   +3 more
doaj   +1 more source

Dynamical Design and Gain Performance Analysis of a 3-DoF Micro-Gyro with an Anchored Leverage Mechanism

Micromachines, 2022
In this paper, we apply the leverage amplification principle to improve the gain of a three-degrees-of-freedom (3-DoF) micro-gyro. The gain of the micro-gyro can be improved by designing linear and nonlinear micro-gyros with an anchored lever mechanism ...
Kunpeng Zhang, Sai Wang, Shuying Hao, Qichang Zhang, Jingjing Feng   +4 more
doaj   +1 more source

Use of Correlated Data for Nonparametric Prediction of a Spatial Target Variable

Mathematics, 2020
The kriging methodology can be applied to predict the value of a spatial variable at an unsampled location, from the available spatial data. Furthermore, additional information from secondary variables, correlated with the target one, can be included in ...
Pilar García-Soidán, Tomás R. Cotos-Yáñez   +1 more
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Selection of the Bandwidth Matrix in Spatial Varying Coefficient Models to Detect Anisotropic Regression Relationships

Mathematics, 2021
The commonly used Geographically Weighted Regression (GWR) fitting method for a spatial varying coefficient model is to select a bandwidth h for the geographic location (u, v), and assign the same weight to the two dimensions.
Xijian Hu, Yaori Lu, Huiguo Zhang, Haijun Jiang, Qingdong Shi   +4 more
doaj   +1 more source