IEEE

Efficient Discrete-Time Distributed Least-Squares Algorithms Without Step-Size Tuning

Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...
Tech Times

Recursive Self-Improvement Now Has a Co-Evolving Evaluator: Cambridge-NVIDIA Paper Raises the Stakes

Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...
IEEE

An Evaluation of the Performance of Data-Driven Recursive Estimation Algorithms for Hydrological Discharge Forecasting

Abstract: This paper evaluates the Recursive Least Squares (RLS) and Kernel Recursive Least Squares (KRLS) algorithms for hydrological discharge forecasting, emphasizing lightweight, data-driven ...
archive

Discrete optimization algorithms : with Pascal programs

Please Don't Scroll Past This Can you chip in? The Internet Archive partners with libraries, archives, and institutions across the globe to preserve cultural heritage that would otherwise be lost ...
Nature

A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...