Accelerating Machine Learning Inference with Probabilistic Predicates

SIGMOD/PODS '18: International Conference on Management of Data Houston TX USA June, 2018, pp. 1493-1508, 2018.

Cited by: 29|Bibtex|Views93|DOI:https://doi.org/10.1145/3183713.3183751
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

Classic query optimization techniques, including predicate pushdown, are of limited use for machine learning inference queries, because the user-defined functions (UDFs) which extract relational columns from unstructured inputs are often very expensive; query predicates will remain stuck behind these UDFs if they happen to require relatio...More

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