Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Zakaria Haque"'
Autor:
Martin Wicke, Jamie Smith, Cassandra Xia, Georgios Roumpos, Philipp Tucker, David A W Soergel, Clemens Mewald, Mustafa Ispir, Jianwei Xie, Illia Polosukhin, Lichan Hong, D. Sculley, Yuan Tang, Heng-Tze Cheng, Zakaria Haque
Publikováno v:
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
We present a framework for specifying, training, evaluating, and deploying machine learning models. Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production. Recognizing the fast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75718243d150b6f662f6432057098faf
https://doi.org/10.1145/3097983.3098171
https://doi.org/10.1145/3097983.3098171
Autor:
Zakaria Haque, Hrishi Aradhye, Greg S. Corrado, Jeremiah Harmsen, Vihan Jain, Xiaobing Liu, Tushar Deepak Chandra, Mustafa Ispir, Glen Anderson, Wei Chai, Lichan Hong, Hemal Shah, Levent Koc, Rohan Anil, Tal Shaked, Heng-Tze Cheng
Publikováno v:
DLRS@RecSys
Generalized linear models with nonlinear feature transformations are widely used for large-scale regression and classification problems with sparse inputs. Memorization of feature interactions through a wide set of cross-product feature transformatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::865f5814397c5afe45507e6d83e6e2dc
https://doi.org/10.1145/2988450.2988454
https://doi.org/10.1145/2988450.2988454