Zobrazeno 1 - 5
of 5
pro vyhledávání: '"C., Paul Suganthan G."'
Automated slicing aims to identify subsets of evaluation data where a trained model performs anomalously. This is an important problem for machine learning pipelines in production since it plays a key role in model debugging and comparison, as well a
Externí odkaz:
http://arxiv.org/abs/2212.09032
Autor:
Doan, AnHai, Ardalan, Adel, Ballard, Jeffrey R., Das, Sanjib, Govind, Yash, Konda, Pradap, Li, Han, Paulson, Erik, C., Paul Suganthan G., Zhang, Haojun
In this paper we argue that the data management community should devote far more effort to building data integration (DI) systems, in order to truly advance the field. Toward this goal, we make three contributions. First, we draw on our recent indust
Externí odkaz:
http://arxiv.org/abs/1710.00027
Publikováno v:
Proceedings of the VLDB Endowment; November 2018, Vol. 12 Issue: 3 p278-291, 14p
Autor:
Govind, Yash, Paulson, Erik, Nagarajan, Palaniappan, C., Paul Suganthan G., Doan, AnHai, Park, Youngchoon, Fung, Glenn M., Conathan, Devin, Carter, Marshall, Sun, Mingju
Publikováno v:
Proceedings of the VLDB Endowment; August 2018, Vol. 11 Issue: 12 p2042-2045, 4p
Autor:
Konda, Pradap, Das, Sanjib, C., Paul Suganthan G., Doan, AnHai, Ardalan, Adel, Ballard, Jeffrey R., Li, Han, Panahi, Fatemah, Zhang, Haojun, Naughton, Jeff, Prasad, Shishir, Krishnan, Ganesh, Deep, Rohit, Raghavendra, Vijay
Publikováno v:
Proceedings of the VLDB Endowment; September 2016, Vol. 9 Issue: 13 p1581-1584, 4p