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Machine Learning at Microsoft with ML.NET.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . KDD, стр. 2448-2458. ACM, (2019)

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Sheng-wei Tsai

Wei-Sheng Lei

Xiao Wei Dawn Chin

Tung-sheng Sheng

Tung-sheng Sheng

 

Другие публикации лиц с тем же именем

A fast parallel SGD for matrix factorization in shared memory systems., , , и . RecSys, стр. 249-256. ACM, (2013)Machine Learning at Microsoft with ML .NET., , , , , , , , , и 24 other автор(ы). CoRR, (2019)Effective string processing and matching for author disambiguation., , , , , , , , , и 14 other автор(ы). J. Mach. Learn. Res., 15 (1): 3037-3064 (2014)Effective string processing and matching for author disambiguation., , , , , , , , , и 14 other автор(ы). KDD Cup, стр. 7:1-7:9. ACM, (2013)Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013., , , , , , , , , и 14 other автор(ы). KDD Cup, стр. 2:1-2:7. ACM, (2013)An Efficient Alternating Newton Method for Learning Factorization Machines., , , и . ACM Trans. Intell. Syst. Technol., 9 (6): 72:1-72:31 (2018)Field-aware Factorization Machines for CTR Prediction., , , и . RecSys, стр. 43-50. ACM, (2016)A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization., , , и . PAKDD (1), том 9077 из Lecture Notes in Computer Science, стр. 442-455. Springer, (2015)LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems., , , , , и . J. Mach. Learn. Res., (2016)Machine Learning at Microsoft with ML.NET., , , , , , , , , и 20 other автор(ы). KDD, стр. 2448-2458. ACM, (2019)