Results 81 to 90 of about 20,204 (210)

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation

, 2017
Many modern computer vision and machine learning applications rely on solving difficult optimization problems that involve non-differentiable objective functions and constraints.
Figueiredo, Mario A. T., Goldstein, Tom, Studer, Christoph, Xu, Zheng, Yuan, Xiaoming   +4 more
core   +1 more source

No Evidence That Resting‐State Individual Alpha Frequency Represents a Mechanism Underlying Motion‐Position Illusions

European Journal of Neuroscience, Volume 62, Issue 9, November 2025.
There are noticeable individual differences in the perception of motion‐position illusions. In this study, we showed that individual differences in the perception of these illusions is not related to an individuals' resting‐state individual alpha frequency.
Timothy Cottier, William Turner, Violet J. Chae, Alex O. Holcombe, Hinze Hogendoorn   +4 more
wiley   +1 more source

Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics [PDF]

, 2018
Kernel-based methods exhibit well-documented performance in various nonlinear learning tasks. Most of them rely on a preselected kernel, whose prudent choice presumes task-specific prior information.
Chen, Tianyi, Giannakis, Georgios B., Shen, Yanning   +2 more
core   +1 more source

ZW and XY Sex Chromosomes Drive Rapid and Distinctive Evolution of Sex‐Biased Gene Expression

Molecular Ecology, Volume 34, Issue 22, November 2025.
ABSTRACT Cichlids are a textbook model system of adaptive radiation and a fascinating example of rapid sex chromosome evolution. Yet in these fish, as in most other taxa, the mechanisms causing sex chromosome turnover and the subsequent impact thereof are unknown.
Kevin Hsiung, Sophie Helen Smith, Astrid Böhne   +2 more
wiley   +1 more source

Recursive and Explicit Theoretical Enclosed Forms Variable Step-Size Incremental LMS

IEEE Access
recursive and explicit theoretical enclosed-form relations of variable step-size (VSS) incremental least mean square (VSSILMS) are derived in agent localization and wireless sensor networks (WSNs). Possible relevant applications of this work include WSNs,
Ali Almohammedi, Azzedine Zerguine, Mohamed Deriche, Sami El-Ferik   +3 more
doaj   +1 more source

Challenges in Automatic Differentiation and Numerical Integration in Physics‐Informed Neural Networks Modelling

International Journal for Numerical Methods in Engineering, Volume 126, Issue 20, 30 October 2025.
ABSTRACT In this paper, we numerically examine the precision challenges that emerge in automatic differentiation and numerical integration in various tasks now tackled by physics‐informed neural networks (PINNs). Specifically, we illustrate how ill‐posed problems or inaccurately computed functions can cause serious precision issues in differentiation ...
Josef Daněk, Jan Pospíšil
wiley   +1 more source

An Alternating Variable Step-Size Adaptive Long-Range Prediction of LMS Fading Signals

International Journal of Distributed Sensor Networks, 2015
We propose a linear alternating variable step-size adaptive long-range prediction (AVSS-ALRP) scheme to predict fading signals which is especially suitable for a versatile two-state land mobile satellite (LMS) channel model at S-band. A three-step design
Xi Liao, Rui Xue, Dan-feng Zhao, Yang Wang   +3 more
doaj   +1 more source

A Variable Step-Size Exponentially Fitted Explicit Hybrid Method for Solving Oscillatory Problems

International Journal of Mathematics and Mathematical Sciences, 2011
An exponentially fitted explicit hybrid method for solving oscillatory problems is obtained. This method has four stages. The first three stages of the method integrate exactly differential systems whose solutions can be expressed as linear combinations ...
F. Samat, F. Ismail, M. B. Suleiman
doaj   +1 more source

On the Existence of Energy-Preserving Symplectic Integrators Based upon Gauss Collocation Formulae

, 2010
We introduce a new family of symplectic integrators depending on a real parameter. When the paramer is zero, the corresponding method in the family becomes the classical Gauss collocation formula of order 2s, where s denotes the number of the internal ...
Ascher U., Brugnano L., Donato Trigiante, Felice Iavernaro, Iavernaro F., Iavernaro F., Luigi Brugnano, Marsden J.E.   +7 more
core   +1 more source

A Variable Step-Size Regularization-Based Quasi-Newton Adaptive Filter for System Identification

IEEE Access
The family of least mean square (LMS) based adaptive filtering algorithms suffers from convergence performance limitation due to the sensitivity of such algorithms to the eigenvalue spread of the input correlation matrix.
Mehdi Bekrani, Hadi Zayyani
doaj   +1 more source