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Autor:
Tom Zahniser, Shaojuan Zhu, Robert Henschel, Judy Qiu, Bo Peng, Lisa Smith, Emily Mccallum, Bingjing Zhang, Langshi Chen, Jon Omer, Mihai Avram, Craig A. Stewart
Publikováno v:
IEEE BigData
Latent Dirichlet Allocation (LDA) is a widely used machine learning technique in topic modeling and data analysis. Training large LDA models on big datasets involves dynamic and irregular computation patterns and is a major challenge to both algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ef8e7fa6b00ed7089b9666f1f5727d9
https://doi.org/10.1109/bigdata.2017.8257932
https://doi.org/10.1109/bigdata.2017.8257932
