Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

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Abstract: In this work, we show that heuristic techniques (particularly Simulated Annealing) can be successfully applied in the search of good non-linear approximations of cryptographic primitives. We ...

Abstract: Various analytic procedures have been proposed for minimum integral-square-error approximation of prescribed linear systems; however, they often involve ...

A python implementation of the algorithm used to generate optimal piecewise linear approximations of convex functions proposed by Imamoto and Tang [1]. The algorithm uses an iterative search to find ...