A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
ApproxML
2019
Proceedings of the VLDB Endowment
Preserved Fulltext
In this paper, we propose to demonstrate ApproxML, a system that efficiently constructs approximate ML models for new queries from previously constructed ML models using the concepts of model materialization ...
and reuse. ...
SUMMARY We demonstrate ApproxML, a system that efficiently constructs approximate ML models for new queries from previously constructed ML models by leveraging the concepts of model materialization and ...
doi:10.14778/3352063.3352096
fatcat:air2xsgtzvgrndqmdk7ihn5ise