MLSkip Framework Announced For ML Filters
Researchers have announced MLSkip, a new framework for data skipping in machine learning filters using lightweight metadata. Database vendors have recently released AI functions usable in filter predicates.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“MLSkip: Data Skipping for ML Filters via Lightweight Metadata. Authors: Mihail Stoian, Mark Gerarts, Pascal Ginter, Andreas Zimmerer, Jan Van den Bussche, Andreas Kipf Abstract: Database vendors recently released AI functions that can be used in filter predicate...”
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