Search Results - subject:"Gradient descent"

Dalalyan, Arnak S.; Karagulyan, Avetik - 2017

Persistent link: https://www.econbiz.de/10012197877

Dalalyan, Arnak S. - 2017

Persistent link: https://www.econbiz.de/10012197883

Gupta, Jatinder N.; Majumder, Arindam; Laha, Dipak - In: Journal of the Operational Research Society 71 (2020) 10, pp. 1619-1637

Persistent link: https://www.econbiz.de/10012314370

Lin, Qihang; Nadarajah, Selvaprabu; Soheili, Negar - In: Management science : journal of the Institute for … 66 (2020) 4, pp. 1544-1562

Persistent link: https://www.econbiz.de/10012268435

Jiang, Shan; Fang, Shu-Cherng; Nie, Tiantian; Xing, Wenxun - In: European journal of operational research : EJOR 283 (2020) 1, pp. 47-56

Persistent link: https://www.econbiz.de/10012161918

Cheung, Yun Kuen; Cole, Richard; Devanur, Nikhil - In: Games and economic behavior 123 (2020), pp. 295-326

Persistent link: https://www.econbiz.de/10012430759

Khan, Zeshan Aslam; Chaudhary, Naveed Ishtiaq; Zubair, Syed - In: Electronic markets : the international journal on … 29 (2019) 2, pp. 275-285

Persistent link: https://www.econbiz.de/10012112958

Chen, Baifan; Gao, Yan; Zhou, Lingjun; Xing, Xiaobing - In: International Journal of Distributed Systems and … 9 (2018) 3, pp. 24-38

In numerous solutions, the distributed stochastic gradient descent algorithm is one of the most popular algorithms for …

Persistent link: https://www.econbiz.de/10012044199

Mercier, Quentin; Poirion, Fabrice; Désidéri, Jean-Antoine - In: European journal of operational research : EJOR 271 (2018) 3, pp. 808-817

Persistent link: https://www.econbiz.de/10011903219

Kumar, Upendra - In: International Journal of Computer Vision and Image … 7 (2017) 1, pp. 44-58

followed by formalizing an objective function to tune filter parameters with Gradient descent and further Genetic Algorithm …

Persistent link: https://www.econbiz.de/10012043823

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