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Computer Science > Machine Learning

arXiv:2212.05712 (cs)
[Submitted on 12 Dec 2022]

Title:A Roadmap to Domain Knowledge Integration in Machine Learning

Authors:Himel Das Gupta, Victor S. Sheng
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Abstract:Many machine learning algorithms have been developed in recent years to enhance the performance of a model in different aspects of artificial intelligence. But the problem persists due to inadequate data and resources. Integrating knowledge in a machine learning model can help to overcome these obstacles up to a certain degree. Incorporating knowledge is a complex task though because of various forms of knowledge representation. In this paper, we will give a brief overview of these different forms of knowledge integration and their performance in certain machine learning tasks.
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Information Retrieval (cs.IR)
Cite as: arXiv:2212.05712 [cs.LG]
  (or arXiv:2212.05712v1 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2212.05712
Related DOI: https://doi.org/10.1109/ICBK50248.2020.00030

Submission history

From: Himel Das Gupta [view email]
[v1] Mon, 12 Dec 2022 05:35:44 UTC (771 KB)
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