Fractional-Based Stochastic Gradient Algorithms for Time-Delayed ARX Models

Learning long-term dependencies with gradient descent is difficult

Yoshua Bengio, P. Simard, Paolo Frasconi · IEEE Transactions on Neural Networks · 1994 · 8.5K citations

Computing, Computer Science, Machine Learning +9

A Caputo fractional derivative of a function with respect to another function

Ricardo Almeida · Communications in Nonlinear Science and Numerical Simulation · 2016 · 1.2K citations · Full text

Natural Sciences, Mathematics, Derivatives +3

The Grünwald–Letnikov method for fractional differential equations

Rudolf Scherer, S. L. Kalla, Yifa Tang et al. · Computers & Mathematics with Applications · 2011 · 462 citations

Natural Sciences, Mathematics, Physics +8

Nonlinear System Identification: A User-Oriented Road Map

VUBIR (Vrije Universiteit Brussel) · 2019 · 446 citations

Engineering, Mathematics, Systems Engineering +16

Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm

Deanna Needell, Nathan Srebro, Rachel Ward · Mathematical Programming · 2015 · 441 citations

Natural Sciences, Computer Science, Algorithms +16