Results 51 to 60 of about 6,455,829 (284)

Seeds banks of desert annuals in an aridity gradient in the southern Atacama Desert [PDF]

open access: yes, 2009
*Background/Question/Methods* Annual plant communities are important components of the biodiversity found in the coastal southern Atacama Desert in Chile. Moreover, they are an important economic resource for the human communities living in that
Julio R. Gutiérrez   +3 more
core   +1 more source

Why natural gradient?

open access: yesProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002
Gradient adaptation is a useful technique for adjusting a set of parameters to minimize a cost function. While often easy to implement, the convergence speed of gradient adaptation can be slow when the slope of the cost function varies widely for small changes in the parameters.
Shun-ichi Amari, Scott C. Douglas
openaire   +2 more sources

Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing [PDF]

open access: yes, 2009
A novel Constraint Adaptive Natural Gradient Algorithm (CANA) is proposed based on the Natural Gradient technique, which is capable of rapidly adjusting the response of an array of sensors to a signal coming from Direction of Interest (DoI) and ...
Durrani, T.S., Shah, I.
core   +4 more sources

On Quantum Natural Policy Gradients

open access: yesIEEE Transactions on Quantum Engineering
This research delves into the role of the quantum Fisher Information Matrix (FIM) in enhancing the performance of Parameterized Quantum Circuit (PQC)-based reinforcement learning agents. While previous studies have highlighted the effectiveness of PQC-based policies preconditioned with the quantum FIM in contextual bandits, its impact in broader ...
André Sequeira   +2 more
openaire   +4 more sources

Artificial molecular machines and motors—Design and control of nanoscale motion

open access: yesFEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

Design and Analysis of Enhanced Phase-Locked Loop: Methods of Lyapunov and Natural Gradient

open access: yesIEEE Access
The phase-locked loop (PLL) plays a crucial role in modern power systems, primarily for estimating line voltage parameters and tracking variations needed to synchronize and control grid-connected power converters.
Shafayat Abrar   +2 more
doaj   +1 more source

Urban-rural gradient detection using multivariate spatial analysis and landscape metrics

open access: yesJournal of Agricultural Engineering, 2013
The gradient approach allows for an innovative representation of landscape composition and configuration not presupposing spatial discontinuities typical of the conventional methods of analysis.
Marco Vizzari, Maurizia Sigura
doaj   +1 more source

Natural Gradient Descent for Control

open access: yesASME Letters in Dynamic Systems and Control
Abstract This article bridges optimization and control and presents a novel closed-loop control framework based on natural gradient descent, offering a trajectory-oriented alternative to traditional cost-function tuning. We leverage the Fisher information matrix to formulate a preconditioned gradient descent update that offers ...
Esmzad, Ramin   +2 more
openaire   +4 more sources

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

open access: yesFEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise   +5 more
wiley   +1 more source

Noisy Natural Gradient as Variational Inference

open access: yesCoRR, 2017
Variational Bayesian neural nets combine the flexibility of deep learning with Bayesian uncertainty estimation. Unfortunately, there is a tradeoff between cheap but simple variational families (e.g.~fully factorized) or expensive and complicated inference procedures.
Guodong Zhang 0006   +3 more
openaire   +5 more sources

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