Results 11 to 20 of about 1,379,799 (331)
Relações entre fluxos e gradientes sobre floresta [PDF]
Acta Amazonica, 1988 Uma analise sobre a vinculação entre os fluxos de vapor d' água e de calor sensível com os correspondentes gradientes de umidade especifica e temperatura, observados acima da floresta, é desenvolvida para as condições de Instabilidade, atmosféricas estas
Arí de Oliveira Marques Filho +1 more
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INFLUÊNCIA DE GRADIENTES GEOGRÁFICOS NA ESTIMATIVA DO ESTOQUE DE CARBONO EM FLORESTA ESTACIONAL SEMIDECIDUAL [PDF]
BIOFIX Scientific Journal, 2019 Diante da importância das formações florestais na fixação de CO2 da atmosfera faz-se necessário o conhecimento da variação do estoque de carbono nos diferentes ecossistemas.
Hortênsia Vilas Bôas +5 more
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Separación de conidias de Paracoccidioides brasiliensis por gradientes discontinuos de Percoll
Iatreia, 2000 <p class="MsoNormal"><span style="font-size: 8.5pt; font-family: Arial">Se ha demostrado que las conidias de Paracoccidioides brasiliensis (Pb) constituyen una de las formas naturales infectantes del hongo. Sin embargo, debido a la dificultad
A. Restrepo +3 more
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Gradient Convergence in Gradient methods with Errors [PDF]
SIAM Journal on Optimization, 2000 Summary: We consider the gradient method \(x_{t+1}=x_t+\gamma_t(s_t+w_t)\), where \(s_t\) is a descent direction of a function \(f:{\mathfrak R}^n\to{\mathfrak R}\) and \(w_t\) is a deterministic or stochastic error. We assume that \(\nabla f\) is Lipschitz continuous, that the stepsize \(\gamma_t\) diminishes to 0, and that \(s_t\) and \(w_t\) satisfy
Dimitri P. Bertsekas, John N. Tsitsiklis
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Gradient Correction beyond Gradient Descent
CoRR, 2022 The great success neural networks have achieved is inseparable from the application of gradient-descent (GD) algorithms. Based on GD, many variant algorithms have emerged to improve the GD optimization process. The gradient for back-propagation is apparently the most crucial aspect for the training of a neural network.
Li, Zefan +4 more
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Is the Policy Gradient a Gradient?
International Joint Conference on Autonomous Agents and Multiagent Systems, 2020 The policy gradient theorem describes the gradient of the expected discounted return with respect to an agent's policy parameters. However, most policy gradient methods drop the discount factor from the state distribution and therefore do not optimize the discounted objective. What do they optimize instead?
Chris Nota, Philip S. Thomas
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Stochastic Gradient Langevin with Delayed Gradients
CoRR, 2020 Stochastic Gradient Langevin Dynamics (SGLD) ensures strong guarantees with regards to convergence in measure for sampling log-concave posterior distributions by adding noise to stochastic gradient iterates. Given the size of many practical problems, parallelizing across several asynchronously running processors is a popular strategy for reducing the ...
Vyacheslav Kungurtsev +2 more
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A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
IEEE Access, 2022 Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models.
Ibomoiye Domor Mienye, Yan-Xia Sun
semanticscholar +1 more source
Hajłasz gradients are upper gradients
Journal of Mathematical Analysis and Applications, 2015 10 ...
Jiang, Renjin +3 more
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Botanical Sciences, 2007 Los bosques de las montañas del sur de México han sido fragmentados y alterados en su estructura y composición florística por agricultura tradicional asociada al crecimiento poblacional.
Mario González-Espinosa +5 more
doaj +1 more source