Stochastic gradient descent‐based support vector machines training optimization on Big Data and HPC frameworks
Autor: | Kannan Govindarajan, Ahmet Uyar, Saliya Ekanayake, Selahatin Akkas, Pulasthi Wickramasinghe, Minje Kim, Vibhatha Abeykoon, Supun Kamburugamuve, Gurhan Gunduz, Geoffrey C. Fox, Niranda Perera, Chathura Widanage |
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Rok vydání: | 2021 |
Předmět: |
Computer Networks and Communications
Dataflow business.industry Computer science Big data Training (meteorology) Machine learning computer.software_genre Supercomputer Computer Science Applications Theoretical Computer Science Support vector machine Stochastic gradient descent Computational Theory and Mathematics Hybrid system Artificial intelligence business computer Software |
Zdroj: | Concurrency and Computation: Practice and Experience. 34 |
ISSN: | 1532-0634 1532-0626 |
DOI: | 10.1002/cpe.6292 |
Databáze: | OpenAIRE |
Externí odkaz: |