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Kai Sheng Tai on Muck Rack

Kai Sheng Tai

As seen in: East Asian Archives of Psychiatry
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Don't Throw Out Your Algorithms Book Just Yet: Classical Data Structures That Can Outperform Learned Indexes

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By Peter Bailis, Matei Zaharia, Kai Sheng Tai, Pratiksha Thaker
| Stanford University
by Peter Bailis, Kai Sheng Tai, Pratiksha Thaker, and Matei Zaharia 11 Jan 2018 There’s recently been a lot of excitement about a new proposal from authors at Google: to replace conventional indexing data structures like B-trees and hash maps by instead fitting a neural network to the dataset. The paper compares such learned indexes against several standard data structures and reports promising results.
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