弓箭
发表于 2025-3-25 04:40:39
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Serenity
发表于 2025-3-25 08:06:34
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SLAY
发表于 2025-3-25 14:55:43
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JOG
发表于 2025-3-25 18:22:30
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ATRIA
发表于 2025-3-25 23:18:53
Enhancing Machine Learning Capabilities in Data Lakes with AutoML and LLMsor wrapping AutoML libraries, and a module that leverages LLMs for AutoML. Finally, we undertake a comparative analysis between the performance of AutoML and LLMs in four challenging real-world use cases from the domain of chemistry, each presenting a distinct type of ML problem.
考得
发表于 2025-3-26 01:24:55
0302-9743 t 28-31, 2024...The 15 full papers presented were carefully reviewed and selected from 43 submissions. The conference focuses on Algebra, Models, Schemata, Discovery and Data Analysis, Algorithms and Optimization, Access Methods and Query Processing, Advanced Architectures, Machine Learning, Large L
catagen
发表于 2025-3-26 07:09:50
Conference proceedings 2024024...The 15 full papers presented were carefully reviewed and selected from 43 submissions. The conference focuses on Algebra, Models, Schemata, Discovery and Data Analysis, Algorithms and Optimization, Access Methods and Query Processing, Advanced Architectures, Machine Learning, Large Language Mo
Arable
发表于 2025-3-26 09:29:04
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arcane
发表于 2025-3-26 14:40:24
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laxative
发表于 2025-3-26 20:47:13
Coordination-Free Replicated Datalog Streams with Application-Specific Availabilitydistributed program is coordination free and eventual consistent. To achieve this, we augment the Datalog program with a composite CRDT (Conflict-free Replicated Data Type). We have implemented a prototype and run experiments to study the performance characteristics of the approach.