Results 181 to 190 of about 14,737,909 (208)

Meso-parametric value function approximation for dynamic customer acceptances in delivery routing

European Journal of Operational Research, 2020
The rise of mobile communication, ample computing power, and Amazon’s training of customers has led to last-mile delivery challenges and created struggles for companies seeking to budget their limited delivery resources efficiently to generate enough ...
M. Ulmer, Barrett W. Thomas
semanticscholar   +1 more source

Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

arXiv.org
Accurate approximation of complex nonlinear functions is a fundamental challenge across many scientific and engineering domains. Traditional neural network architectures, such as Multi-Layer Perceptrons (MLPs), often struggle to efficiently capture ...
SS Sidharth, R. Gokul
semanticscholar   +1 more source

Function Approximation

Deep Reinforcement Learning with Python, 2021
N. Sanghi
semanticscholar   +1 more source

Major advancements in kernel function approximation

Artificial Intelligence Review, 2020
Deena P. Francis, K. Raimond
semanticscholar   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Universal approximation bounds for superpositions of a sigmoidal function

IEEE Transactions on Information Theory, 1993
A. Barron
semanticscholar   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly