On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes

Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo. On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes. In Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis, editors, Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings. Volume 1600 of Communications in Computer and Information Science, pages 115-127, Springer, 2022. [doi]

Authors

Domenico Amato

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Giosuè Lo Bosco

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Raffaele Giancarlo

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