A Roadmap to Domain Knowledge Integration in Machine Learning
Machine Learning
2022-12-13 v1 Computer Vision and Pattern Recognition
Information Retrieval
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.
Cite
@article{arxiv.2212.05712,
title = {A Roadmap to Domain Knowledge Integration in Machine Learning},
author = {Himel Das Gupta and Victor S. Sheng},
journal= {arXiv preprint arXiv:2212.05712},
year = {2022}
}