Zobrazeno 1 - 10
of 27 055
pro vyhledávání: '"gradient descent"'
Autor:
Mathias M. Nilsen, Andreas S. Stordal, Rolf J. Lorentzen, Patrick N. Raanes, Kjersti S. Eikrem
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract We investigate the use of various momentum methods in combination with an ensemble approximation of gradients, for accelerated optimization. Although momentum gradient descent methods are popular in machine learning, it is unclear how they p
Externí odkaz:
https://doaj.org/article/04abd20f666f4513a1d7ead1bd06921f
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and Experiments
Publikováno v:
Mathematics Interdisciplinary Research, Vol 9, Iss 3, Pp 237-253 (2024)
This paper introduces a novel approach to enhance the performance of the stochastic gradient descent (SGD) algorithm by incorporating a modified decay step size based on $\frac{1}{\sqrt{t}}$. The proposed step size integrates a logarithmic t
Externí odkaz:
https://doaj.org/article/b7233bfe54f24bb698c14cf72b658fad
Autor:
Kose, Oguz
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2024, Vol. 96, Issue 5, pp. 669-678.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEAT-01-2023-0002
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract This paper proposed the additional fractional gradient descent identification algorithm based on the multi-innovation principle for autoregressive exogenous models. This algorithm incorporates an additional fractional order gradient to the i
Externí odkaz:
https://doaj.org/article/359111a6c6654eb7a18bfd8c3c805a0c
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Background Copy number variants (CNVs) have become increasingly instrumental in understanding the etiology of all diseases and phenotypes, including Neurocognitive Disorders (NDs). Among the well-established regions associated with ND are sm
Externí odkaz:
https://doaj.org/article/277eae9c344b49e2b20a0136fae4e8a2
Autor:
Marco Sutti, Mei-Heng Yueh
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 19414-19445 (2024)
We propose a new Riemannian gradient descent method for computing spherical area-preserving mappings of topological spheres using a Riemannian retraction-based framework with theoretically guaranteed convergence. The objective function is based on th
Externí odkaz:
https://doaj.org/article/f5ac47f8512e47158e0d3c0c366a11c5
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 123-132 (2024)
In the present era of smart grids, accurate prediction of energy uses is becoming increasingly essential to guarantee optimal energy efficiency. This study contributes to the field by utilizing advanced machine learning techniques to perform predicti
Externí odkaz:
https://doaj.org/article/cb85330957b24d21a3be778db1cc6af7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Unmanned aerial vehicles (UAVs) have become the focus of current research because of their practicability in various scenarios. However, current local path planning methods often result in trajectories with numerous sharp or inflection point
Externí odkaz:
https://doaj.org/article/f6caf7dd52c94d51b5b242657c669cdb
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract In virtual reality, due to factors such as light sources and surface materials of objects, the details of the scene exhibit extremely complex changes, making it difficult to capture environmental modeling relationships and reducing the quali
Externí odkaz:
https://doaj.org/article/8a82e3cd5d2b42adbafad178496e8d2a
Publikováno v:
PeerJ Computer Science, Vol 10, p e2352 (2024)
Simultaneous equation model (SEM) is an econometric technique traditionally used in economics but with many applications in other sciences. This model allows the bidirectional relationship between variables and a simultaneous relationship between the
Externí odkaz:
https://doaj.org/article/a6f914da1ea34307bc21a4ea1199b5c9