Zobrazeno 1 - 10
of 5 966
pro vyhledávání: '"autotune"'
Autor:
Wu, Xingfu, Tramm, John R., Larson, Jeffrey, Navarro, John-Luke, Balaprakash, Prasanna, Videau, Brice, Kruse, Michael, Hovland, Paul, Taylor, Valerie, Hall, Mary
ytopt is a Python machine-learning-based autotuning software package developed within the ECP PROTEAS-TUNE project. The ytopt software adopts an asynchronous search framework that consists of sampling a small number of input parameter configurations
Externí odkaz:
http://arxiv.org/abs/2402.09222
Akademický článek
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Publikováno v:
IEEE Robotics and Automation Letters 2022
Due to noisy actuation and external disturbances, tuning controllers for high-speed flight is very challenging. In this paper, we ask the following questions: How sensitive are controllers to tuning when tracking high-speed maneuvers? What algorithms
Externí odkaz:
http://arxiv.org/abs/2103.10698
Autor:
Chang, Michael Alan, Panda, Aurojit, Wang, Hantao, Tsai, Yuancheng, Balakrishnan, Rahul, Shenker, Scott
Most large web-scale applications are now built by composing collections (from a few up to 100s or 1000s) of microservices. Operators need to decide how many resources are allocated to each microservice, and these allocations can have a large impact
Externí odkaz:
http://arxiv.org/abs/2106.10334
Autor:
Basha, S. H. Shabbeer, Vinakota, Sravan Kumar, Pulabaigari, Viswanath, Mukherjee, Snehasis, Dubey, Shiv Ram
Transfer learning enables solving a specific task having limited data by using the pre-trained deep networks trained on large-scale datasets. Typically, while transferring the learned knowledge from source task to the target task, the last few layers
Externí odkaz:
http://arxiv.org/abs/2005.02165
Publikováno v:
In Ocean Engineering 15 April 2022 250
Machine learning applications often require hyperparameter tuning. The hyperparameters usually drive both the efficiency of the model training process and the resulting model quality. For hyperparameter tuning, machine learning algorithms are complex
Externí odkaz:
http://arxiv.org/abs/1804.07824
Autor:
Basha, S.H. Shabbeer, Vinakota, Sravan Kumar, Pulabaigari, Viswanath, Mukherjee, Snehasis, Dubey, Shiv Ram
Publikováno v:
In Neural Networks January 2021 133:112-122
Akademický článek
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Autor:
Shahan, Cyrus
Publikováno v:
German Politics & Society, 2017 Jul 01. 35(2), 7-25.
Externí odkaz:
https://www.jstor.org/stable/44631004