Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

Numerical-Methods-Project/ │ ├── README.md │ ├── 01_Solution_of_Linear_Equations/ │ │ │ ├── Gauss_Elimination/ │ │ ├── theory.md ...

Numerical-Methods-Console-App/ │ ├── Regression Methods │ │ │ ├── Exponential Regression │ │ ├── Exponential Regression.cpp │ │ ├── input.txt │ │ └── output.txt │ │ │ ├── Linear Regression ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of low-loss reconfigurable integrated optical devices enables further ...

The stochastic inversion method using logging data as conditional data and seismic data as constraint data has a higher vertical resolution than the conventional deterministic inversion method.

Abstract: An improved variant of the precise-integration time-domain (PITD) method is proposed to eliminate the inverse matrix calculation and optimize the storage burden with the help of sparse ...

Abstract: This paper presents a novel method for accurately and conveniently inverting the relative permittivity and conductivity of half-space medium using a single antenna in the presence of ...

Carbonate reservoirs are one of the most important types of reservoirs worldwide (Yang et al., 2020; Dai et al., 2021; Zhu et al., 2021; Li et al., 2022; Meng et al., 2022; Sarhan, 2024). In the ...

ABSTRACT: Nowadays, identification, ranking criteria and location of services are important in the planning and designing of city. In fact, it helps the authorities and managers make better decisions ...