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Learned Sorted Table Search and Static Indexes in Small-Space Data Models.

, , и . Data, 8 (3): 56 (марта 2023)

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Recurrent Deep Neural Networks for Nucleosome Classification., , , и . CIBB, том 11925 из Lecture Notes in Computer Science, стр. 118-127. Springer, (2018)Learned Sorted Table Search and Static Indexes in Small-Space Data Models., , и . Data, 8 (3): 56 (марта 2023)From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice., , и . CoRR, (2023)Metric Learning in Histopathological Image Classification: Opening the Black Box., , , , и . Sensors, 23 (13): 6003 (июля 2023)Standard versus uniform binary search and their variants in learned static indexing: The case of the searching on sorted data benchmarking software platform., , и . Softw. Pract. Exp., 53 (2): 318-346 (2023)Neural networks as building blocks for the design of efficient learned indexes., , и . Neural Comput. Appl., 35 (29): 21399-21414 (октября 2023)Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines., , и . CoRR, (2020)Correction to: Neural networks as building blocks for the design of efficient learned indexes., , и . Neural Comput. Appl., 36 (2): 1047 (января 2024)CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification., , и . BMC Bioinform., 21-S (8): 326 (2020)Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform., , и . CoRR, (2022)