Zobrazeno 1 - 10
of 1 732
pro vyhledávání: '"Gaussian kernel"'
Publikováno v:
Jambura Journal of Mathematics, Vol 6, Iss 2, Pp 204-211 (2024)
Regression analysis is one statistical method used to determine the relationship between a dependent variable and one or more independent variables. Dependent variables that are categorical are analyzed using logistic regression analysis. Geographica
Externí odkaz:
https://doaj.org/article/5d57e9eb47c34f74a1187c7b725924a5
Autor:
Shahid Latif, Taha B. M. J. Ouarda
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract A semiparametric copula joint framework was proposed to model wind gust speed (WGS) and maximum temperature (MT) in Canada, using Gaussian kernel density estimation (GKDE) with parametric copulas. Their joint probability estimates allow for
Externí odkaz:
https://doaj.org/article/26ff504a43d749d1bb869693a03ca147
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background Protein-protein interactions (PPIs) hold significant importance in biology, with precise PPI prediction as a pivotal factor in comprehending cellular processes and facilitating drug design. However, experimental determination of P
Externí odkaz:
https://doaj.org/article/ad204205500b40cebe21fee86734ac2f
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 3, Pp 100344- (2024)
Financial distress occurs when individuals or companies struggle to meet financial obligations, often due to factors like high fixed costs, illiquidity, or revenue sensitivity to economic downturns. While various machine learning and deep learning ap
Externí odkaz:
https://doaj.org/article/fa7a19c8a4ad4740805090ccac86717b
Publikováno v:
IEEE Access, Vol 12, Pp 142015-142025 (2024)
The approach to calculating density significantly impacts the clustering efficacy of the Density Peak Clustering (DPC) method, with various density calculation methods tailored for different datasets. To address this, this study introduces a Self-Rep
Externí odkaz:
https://doaj.org/article/f793013965c74bb4bae29109d343c2dd
Autor:
Wenchang Wu
Publikováno v:
IEEE Access, Vol 12, Pp 104204-104214 (2024)
As an important power device in modern industry, electric motor plays a vital role in the production process. In the face of the expanding scale of the motor system and the increasing complexity of the working environment, the study proposes a new mo
Externí odkaz:
https://doaj.org/article/975c58856ef34213af0b9d4704312d4c
Publikováno v:
IEEE Access, Vol 12, Pp 56973-56980 (2024)
Over the last decades, learning methods using kernels have become very popular. The main reason is that real data analysis often requires nonlinear methods to detect the dependencies that allow successful predictions of properties of interest. Gaussi
Externí odkaz:
https://doaj.org/article/4ccb090dd8bf4d17a8519c2397110585
Autor:
Fred Sseguya, Kyung-Soo Jun
Publikováno v:
Water, Vol 16, Iss 18, p 2656 (2024)
Effective drought management requires precise measurement, but this is challenging due to the variety of drought indices and indicators, each with unique methods and specific uses, and limited ground data availability. This study utilizes remote sens
Externí odkaz:
https://doaj.org/article/1e768d5ed12748b884c5675c731648c5
Publikováno v:
Shipin yu jixie, Vol 39, Iss 9, Pp 83-88 (2023)
Objective: To improve fruit classification accuracy while considering low computational cost and low sensor cost. Methods: A fruit classification system based on capacitive pressure sensor was proposed. The system used support vector machine algorith
Externí odkaz:
https://doaj.org/article/6bf37e23bae941eb9c250c05cf51a8e0
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 627-637 (2023)
Aiming at the problem of diversified and time-varying data in industrial energy forecast, an incremental least squares support vector regression model based on approximate Gaussian kernel mapping and knowledge transfer is proposed. Firstly, an increm
Externí odkaz:
https://doaj.org/article/880314897cc746fda45c88cdbaacc68a