Results 41 to 50 of about 580,652 (288)

Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees

open access: yesPeer Community Journal, 2023
General linear models have been the foundational statistical framework used to discover the ecological processes that explain the distribution and abundance of natural populations.
Manley, William   +3 more
doaj   +1 more source

Natural Gradient Optimization for Optical Quantum Circuits

open access: yes, 2021
Optical quantum circuits can be optimized using gradient descent methods, as the gates in a circuit can be parametrized by continuous parameters. However, the parameter space as seen by the cost function is not Euclidean, which means that the Euclidean ...
Cussenot, Pierre   +3 more
core   +1 more source

Predictive coding, precision and natural gradients

open access: yesCoRR, 2021
There is an increasing convergence between biologically plausible computational models of inference and learning with local update rules and the global gradient-based optimization of neural network models employed in machine learning. One particularly exciting connection is the correspondence between the locally informed optimization in predictive ...
André Ofner   +3 more
openaire   +2 more sources

Thermodynamic natural gradient descent

open access: yesnpj Unconventional Computing
Second-order training methods have better convergence properties than gradient descent but are rarely used in practice for large-scale training due to their computational overhead. This can be viewed as a hardware limitation (imposed by digital computers).
Kaelan Donatella   +5 more
openaire   +2 more sources

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

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   +1 more
core   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

open access: yesFEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy   +4 more
wiley   +1 more source

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   +3 more sources

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 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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