Results 11 to 20 of about 4,465,122 (351)
Bao: Making Learned Query Optimization Practical [PDF]
SIGMOD Conference, 2020 Recent efforts applying machine learning techniques to query optimization have shown few practical gains due to substantive training overhead, inability to adapt to changes, and poor tail performance.
Ryan Marcus +5 more
semanticscholar +1 more source
Data dependencies for query optimization: a survey
The VLDB journal, 2021 Effective query optimization is a core feature of any database management system. While most query optimization techniques make use of simple metadata, such as cardinalities and other basic statistics, other optimization techniques are based on more ...
Jan Kossmann +2 more
semanticscholar +1 more source
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases
SIGMOD Conference, 2021 Cost-based query optimization remains a critical task in relational databases even after decades of research and industrial development. Query optimizers rely on a large range of statistical synopses for accurate cardinality estimation. As the complexity
Yesdaulet Izenov +3 more
semanticscholar +1 more source
Optimization of correlate subquery based on distributed database
Xibei Gongye Daxue Xuebao, 2021 Subquery is widely used in database. It can be divided into related subquery and non-related subquery according to whether it is dependent on the table of the parent query.
doaj +1 more source
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising [PDF]
Computer Vision and Pattern Recognition, 2022 We present in this paper a novel denoising training method to speedup DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like methods.
Feng Li +5 more
semanticscholar +1 more source
Query Refinement into Information Retrieval Systems: An Overview
Journal of Information and Organizational Sciences, 2023 Query, expressing the user need and requirement, has an important role, in an information retrieval system, for reaching a high accuracy search. In this paper, we present an overview of the different refinement operations that the query may undergo, in ...
Mawloud Mosbah
doaj +1 more source
Dense Distinct Query for End-to-End Object Detection [PDF]
Computer Vision and Pattern Recognition, 2023 One-to-one label assignment in object detection has successfully obviated the need for non-maximum suppression (NMS) as postprocessing and makes the pipeline end-to-end.
Shilong Zhang +7 more
semanticscholar +1 more source
Optimal Divide and Query [PDF]
, 2011 This work has been partially supported by the Spanish Ministerio de Ciencia e Innovación under grant TIN2008-06622-C03-02 and by the Generalitat Valenciana under grant PROMETEO/2011/052.
Insa Cabrera, David +1 more
openaire +2 more sources
Learning State Representations for Query Optimization with Deep Reinforcement Learning [PDF]
DEEM@SIGMOD, 2018 We explore the idea of using deep reinforcement learning for query optimization. The approach is to build queries incrementally by encoding properties of subqueries using a learned representation.
Jennifer Ortiz +3 more
semanticscholar +1 more source
Lero: A Learning-to-Rank Query Optimizer [PDF]
Proceedings of the VLDB Endowment, 2023 A recent line of works apply machine learning techniques to assist or rebuild cost-based query optimizers in DBMS. While exhibiting superiority in some benchmarks, their deficiencies, e.g., unstable performance, high training cost, and slow model ...
Rong Zhu +6 more
semanticscholar +1 more source