A Gradient-Based Optimization Method Using the Koopman Operator
In this paper, we propose a novel approach to solving optimization problems by
reformulating the optimization problem into a dynamical system, followed by the adaptive …
reformulating the optimization problem into a dynamical system, followed by the adaptive …
The Triumvirate of Bespoke Diverse Hybridized Activation Functions, Adaptive Momentum, and Enhanced Entropic Wavelet Energy Spectrum Discernment for Higher …
S Chan - The 2023 IARIA Annual Congress on Frontiers in …, 2023 - papers.ssrn.com
Abstract Artificial Intelligence-centric Attacks (AIA) involving False Data Injection and False
Command Injection have become increasingly sophisticated and have also involved …
Command Injection have become increasingly sophisticated and have also involved …
[PDF][PDF] Conjugate Gradient-Style Momentum Method with Adaptive Difference for Image Classification
C Ouyang, A Jian, X Zhao, G Yuan - 2023 - assets-eu.researchsquare.com
SGDM is a classic momentum method, which is widely used in machine learning due to its
high convergence accuracy. One disadvantage of SGDM is the slow convergence speed. In …
high convergence accuracy. One disadvantage of SGDM is the slow convergence speed. In …