The Most Important Idea In AI: Recursive Self Improvement (RSI).

There is a quote often attributed to Einstein: compound interest is the eighth wonder of the world. He who understands it, ...
The Washington Post

Are you in TikTok’s cat niche? What 121,000 videos reveal.

You chose selected. Each dot here represents a single video about selected. While you’re on the app, TikTok tracks how you interact with videos. It monitors your watch time, the videos you like, the ...
IEEE

A Nonparametric Variable Forgetting Factor Recursive Least-Squares Algorithm

Abstract: The forgetting factor is the main control parameter of the recursive least-squares (RLS) algorithm, which is set to balance between the estimate accuracy and the tracking capability.
Scientific Research Publishing

Veldpaus, F. E., Woltring, H. J., & Dortmans, L. J. M. G. (1988). A Least-Squares Algorithm for the Equiform Transformation from Spatial Marker Co-Ordinates. Journal of ...

ABSTRACT: In conventional inverse dynamics analyses of the human body, the locations of the centre of pressure (COP) of external forces acting on the body segments are necessary to solve problems. In ...
Scientific Research Publishing

He, C.W., Yuan, Y.B. and Tan, B.F. (2021) An Iterative Least Squares Algorithm Based on UWB TDOA Positioning Mode. Geodesy and Geodynamics, 41, 806-809.

ABSTRACT: With the deep penetration of modern technology into the agricultural field, greenhouses have become an indispensable part of agricultural production, and the demand for internal navigation ...
IEEE

A Polynomial Recursive Nonlinear Least-Squares Algorithm for High-Accuracy Parameter Identification of Heavy-Haul Train Dynamics

Abstract: To address the issues of low accuracy and poor adaptability in traditional dynamic parameter identification methods for heavy-haul trains, this article proposes a polynomial nonlinear ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
Frontiers

Inverse freeform design in non-imaging optics: Hamilton’s theory of geometrical optics, optimal transport, and least-squares solvers

We present a systematic derivation of three mathematical models of increasing complexity for optical design, based on Hamilton’s characteristic functions and conservation of luminous flux, and briefly ...
GitHub

recursive-least-squares

Microcontroller-friendly C implementation of Recursive Least Squares (RLS) for running gradient analysis, including linear, cubic, and quadratic trends, optimized for real-time trend and peak ...