Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning

Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning

The accelerated growth of available data causes case bases of increasing sizes and thus lowers efficiency during the case retrieval phase in Case-Based Reasoning (CBR) systems. Even though, many complex and data-intensive tasks are solved by using Graphic Processing Units (GPUs), its application in...

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Bibliographic Details
Main Authors: Lukas Malburg, Maximilian Hoffmann, Simon Trumm, Ralph Bergmann
Format: Article
Language:English
Published: LibraryPress@UF 2021-04-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
graphic processing units
case retrieval
syntactic and semantic similarity measures
procake
case-based reasoning
Online Access:https://journals.flvc.org/FLAIRS/article/view/128345
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https://journals.flvc.org/FLAIRS/article/view/128345

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