Results 51 to 60 of about 580,652 (288)

Analysis of Multi-Phase Mixed Slurry Horizontal Section Migration Efficiency in Natural Gas Hydrate Drilling and Production Method Based on Double-Layer Continuous Pipe and Double Gradient Drilling

open access: yesEnergies, 2020
In order to improve the recovery efficiency of natural gas hydrate in solid-state fluidized mining of natural gas hydrate, we solve drilling safety problems, such as narrow density of natural gas hydrate formation pressure window and poor wellbore ...
Yang Tang   +4 more
doaj   +1 more source

Properties of functionally gradient composites reinforced with waste natural fillers [PDF]

open access: yesActa Periodica Technologica, 2019
In the present work, an in-house centrifugal casting setup was developed in the laboratory. Waste natural fillers such as soap nuts seeds, Aegle marmelos, and Terminalia chebula were used for the preparation of polyester based composite by using
Prasad Lalta   +4 more
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   +3 more sources

The pyruvate generator is a common phenomenon in mitochondria from different rat and mouse brain regions

open access: yesFEBS Letters, EarlyView.
The pyruvate generator, which causes activation of respiration by extra‐mitochondrial Ca2+, is also present and functional in rat brainstem mitochondria, as it is in other brain regions. This finding is confirmed by experiments with a fully reconstituted malate–aspartate shuttle (MAS).
Grazyna Debska‐Vielhaber   +7 more
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

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

open access: yesFEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Affine Calculus for Constrained Minima of the Kullback–Leibler Divergence

open access: yesStats
The non-parametric version of Amari’s dually affine Information Geometry provides a practical calculus to perform computations of interest in statistical machine learning.
Giovanni Pistone
doaj   +1 more source

Accelerating Extreme Search of Multidimensional Functions Based on Natural Gradient Descent with Dirichlet Distributions

open access: yesMathematics, 2022
The high accuracy attainment, using less complex architectures of neural networks, remains one of the most important problems in machine learning. In many studies, increasing the quality of recognition and prediction is obtained by extending neural ...
Ruslan Abdulkadirov   +2 more
doaj   +1 more source

Functional Natural Policy Gradients

open access: yesCoRR
We propose a cross-fitted debiasing device for policy learning from offline data. A key consequence of the resulting learning principle is $\sqrt N$ regret even for policy classes with complexity greater than Donsker, provided a product-of-errors nuisance remainder is $O(N^{-1/2})$.
Aurélien F. Bibaut   +3 more
openaire   +2 more sources

Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients

open access: yesCoRR, 2019
Continual learning aims to enable machine learning models to learn a general solution space for past and future tasks in a sequential manner. Conventional models tend to forget the knowledge of previous tasks while learning a new task, a phenomenon known as catastrophic forgetting.
Yu Chen, Tom Diethe, Neil Lawrence
openaire   +3 more sources

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