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ApproxML

Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das
2019 Proceedings of the VLDB Endowment  
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