Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Susan B. Davidson"'
Publikováno v:
Proceedings of the VLDB Endowment. 15:3630-3633
Our ability to collect data is rapidly outstripping our ability to effectively store and use it. Organizations are therefore facing tough decisions of what data to archive (or dispose of) to effectively meet their business goals. PHOcus addresses thi
Publikováno v:
Proceedings of the VLDB Endowment. 14:2410-2418
High-quality labels are expensive to obtain for many machine learning tasks, such as medical image classification tasks. Therefore, probabilistic (weak) labels produced by weak supervision tools are used to seed a process in which influential samples
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Autor:
Susan B. Davidson
Publikováno v:
ACM SIGMOD Record. 49:52-58
Welcome to ACM SIGMOD Records series of interviews with distinguished members of the database community. I'm Marianne Winslett, and today we're at the 2017 SIGMOD and PODS conference in Chicago. I have with me Susan Davidson, who's a professor at the
Publikováno v:
Information Systems. 109:102060
Publikováno v:
Proceedings of the VLDB Endowment. 12:738-751
As research products expand to include structured datasets, the challenge arises of how to automatically generate citations to the results of arbitrary queries against such datasets. Previous work explored this problem in the context of conjunctive q
Publikováno v:
SIGMOD Conference
The ubiquitous use of machine learning algorithms brings new challenges to traditional database problems such as incremental view update. Much effort is being put in better understanding and debugging machine learning models, as well as in identifyin
Autor:
Brent Hailpern, Alexander S. Szalay, Henrik I. Christensen, Padma Raghavan, Deborah Estrin, Francine Berman, Victoria Stodden, Rob A. Rutenbar, Susan B. Davidson, Michael J. Franklin, Margaret Martonosi
Publikováno v:
Communications of the ACM. 61:67-72
Data science promises new insights, helping transform information into knowledge that can drive science and industry.
Publikováno v:
Proceedings of the VLDB Endowment. 10:1881-1884
An increasing amount of information is being collected in structured, evolving, curated databases, driving the question of how information extracted from such datasets via queries should be cited. While several databases say how data should be cited
Autor:
Betsy Bizot, Susan B. Davidson, Ellen Walker, Stuart H. Zweben, Susanne E. Hambrusch, W. Richards Adrion, Mary Hall, Tracy Camp
Publikováno v:
ACM Inroads. 8:36-42