Results 11 to 20 of about 73,156 (307)

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   +4 more sources

The Optimal Bandwidth Parameter Selection in GPH Estimation [PDF]

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   +3 more sources

Accelerating Partitioned Edge Learning via Joint Parameter-and-Bandwidth Allocation [PDF]

GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020
In this paper, we consider the framework of partitioned edge learning for iteratively training a large-scale model using many resource-constrained devices (called workers). To this end, in each iteration, the model is dynamically partitioned into parametric blocks, which are downloaded to worker groups for updating using their local data.
Dingzhu Wen, Mehdi Bennis, Kaibin Huang
core   +4 more sources

Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning [PDF]

IEEE Transactions on Wireless Communications, 2020
To leverage data and computation capabilities of mobile devices, machine learning algorithms are deployed at the network edge for training artificial intelligence (AI) models, resulting in the new paradigm of edge learning. In this paper, we consider the framework of partitioned edge learning for iteratively training a large-scale model using many ...
Dingzhu Wen, Mehdi Bennis, Kaibin Huang
core   +6 more sources

On bandwidth parameter choices for discrete nonparametric kernel estimator [PDF]

Comptes Rendus. Mathématique, 2016
This note concentrates on the nonparametric estimation of a probability mass function (p.m.f.) using discrete associated kernels. An expression of the optimal bandwidth minimizing the asymptotic part of the global squared error is given. Some asymptotic expressions of bias and variance of the cross-validation criterion are also presented.
Senga Kiesse, Tristan, Tristan Senga Kiessé   +1 more
openaire   +3 more sources

Improvements to the calibration of a geographically weighted regression with parameter-specific distance metrics and bandwidths

Computers, Environment and Urban Systems, 2018
Abstract In standard geographically weighted regression (GWR), the spatially-varying relationships between the dependent and each independent variable are explored under a constant and fixed scale, but for many processes their variation intensity may differ with respect to location and direction.
Binbin Lu, Wenbai Yang, Yong Ge, Paul Harris 0002   +3 more
openaire   +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
doaj   +1 more source