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Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023Jiake Ge +6 more
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2021
Machine Learning has a plethora of applications in computer science and every-day life, spanning from image processing to video game AI. The usage of machine learning models, such as Artificial Neural Networks, has yielded significant benefits in the execution of tasks, that would otherwise be impractical via conventional algorithms. In this thesis, we
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Machine Learning has a plethora of applications in computer science and every-day life, spanning from image processing to video game AI. The usage of machine learning models, such as Artificial Neural Networks, has yielded significant benefits in the execution of tasks, that would otherwise be impractical via conventional algorithms. In this thesis, we
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Diagnostic Utility of the Learning Disability Index
Journal of Learning Disabilities, 2002The Learning Disability Index (LDI) is one of many diagnostic indicators proposed for the identification of students with learning disabilities that relies on patterns of performance on cognitive tests. The LDI is hypothesized to relate to students' specific neuropsychological deficits.
Marley W, Watkins +2 more
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Sequential Learning with a Similarity Selection Index
Operations ResearchIn large-scale simulation optimization, it is impossible to exhaustively simulate every choice. However, there are often inherent similarities between choices: for example, two similar sets of input settings to a simulation model can reasonably be expected to produce similar output. The information gained from simulating one choice can thus be used to
Yi Zhou +2 more
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A Fully On-Disk Updatable Learned Index
2024 IEEE 40th International Conference on Data Engineering (ICDE)While in-memory learned indexes have shown promising performance as compared to B+-tree, most widely used databases in real applications still rely on disk-based operations. From our experiments, we observe that directly applying the ex-isting in-memory learned indexes into on-disk setting suffers from several drawbacks and cannot outperform a standard
Hai Lan +4 more
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Prescribed learning of indexed families
Fundam. Informaticae, 2008Summary: This work extends studies of Angluin, Lange and Zeugmann on how learnability of a language class depends on the hypothesis space used by the learner. While previous studies mainly focused on the case where the learner chooses a particular hypothesis space, the goal of this work is to investigate the case where the learner has to cope with all ...
Jain, S., Stephan, F., Nan, Y.
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Efficient Learned Spatial Index With Interpolation Function Based Learned Model
IEEE Transactions on Big Data, 2023Rongxing Lu +2 more
exaly
Spatial Queries Based on Learned Index
Lecture Notes in Computer Science, 2021Jianqiu Xu, Xu Jianqiu
exaly
SISAP 2023 Indexing Challenge – Learned Metric Index
2023Terézia Slanináková +4 more
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