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Linear Regression in Machine Learning: Explained Clearly with Real ExamplesDiscover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...
Suppose that the independent variables in a linear regression are subject to error. This paper is concerned with the bias introduced into the least squares estimators by these errors, first when they ...
A bewilderingly large number of statistical quantities have been proposed to study outliers and influence of individual observations in regression analysis. In this article we describe the ...
The increasing adoption of indoor localization has increased demand for location-based services (LBS) to enhance daily efficiency. Fingerprinting is a widely used method due to its high accuracy and ...
Dynamic performance of an induction motor suffers due to its complicated control. The interdependence of a phase quantity with other phases makes its control more complex. Hence, a transformation is ...
This project implements a high-speed matrix-matrix multiplication module in C/C++, optimized with multi-threading, SIMD, and cache miss minimization. It supports large, configurable matrix sizes, ...
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