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Non-convex optimization is a critical tool in advancing machine learning, especially for complex models like deep neural networks and support vector machines. Despite challenges such as multiple local minima and saddle points, non-convex techniques o
Externí odkaz:
http://arxiv.org/abs/2410.02017
Autor:
Gare, Arran
Publikováno v:
Democracy & Nature: The International Journal of Inclusive Democracy. Nov2003, Vol. 9 Issue 3, p345-358. 14p.
We present TropNNC, a framework for compressing neural networks with linear and convolutional layers and ReLU activations. TropNNC is a structured compression framework based on a geometrical approach to machine/deep learning, using tropical geometry
Externí odkaz:
http://arxiv.org/abs/2409.03945
Autor:
Zafeiropoulos, Vasilis, Anastassakis, George, Orphanoudakis, Theophanis, Kalles, Dimitris, Fanariotis, Anastasios, Fotopoulos, Vassilis
Publikováno v:
MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction (2023)
This paper presents the V-Lab, a VR application development framework for educational scenarios mainly involving scientific processes executed in laboratory environments such as chemistry and biology laboratories. This work is an extension of the Onl
Externí odkaz:
http://arxiv.org/abs/2407.07698
Autor:
Fotopoulos, Georgios, Karachalios, Nikos I., Koukouloyannis, Vassilis, Kyriazopoulos, Paris, Vetas, Kostas
The study of nonlinear Schr\"odinger-type equations with nonzero boundary conditions define challenging problems both for the continuous (partial differential equation) or the discrete (lattice) counterparts. They are associated with fascinating dyna
Externí odkaz:
http://arxiv.org/abs/2312.03683
Publikováno v:
ACS omega 9.9 (2024) 10286-10298
The mechanical properties of Cu-Ti alloys have been characterized extensively through experimental studies. However, a detailed understanding of why the strength of Cu increases after a small fraction of Ti atoms is added to the alloy is still missin
Externí odkaz:
http://arxiv.org/abs/2310.05415
Publikováno v:
In: TMS 2024 153rd Annual Meeting & Exhibition Supplemental Proceedings. TMS 2024. The Minerals, Metals & Materials Series. Springer, Cham
Metallic dopants have the potential to increase the mechanical strength of polycrystalline metals. These elements are expected to aggregate in regions of lower coordination, such as grain boundaries. At the grain boundaries, they can have a beneficia
Externí odkaz:
http://arxiv.org/abs/2310.05416
Publikováno v:
npj Sustainable Agriculture, Vol 2, Iss 1, Pp 1-6 (2024)
By maintaining stress factors under optimal low-dose levels, plant performance and productivity can be increased and postharvest produce quality can be improved. Hence, for a sustainable food production, plant stress should not be feared but systemat
Externí odkaz:
https://doaj.org/article/96c94d15927f46a5b76d5f55c1a4a388
Autor:
Hanks, Patrick, Lenarčič, Simon
Publikováno v:
Dictionary of American Family Names, 2 ed., 2022.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780190245115.001.0001/acref-9780190245115-e-24990