A Roadmap to Domain Knowledge Integration in Machine Learning
2020 IEEE International Conference on Knowledge Graph (ICKG)(2020)
摘要
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 resource. 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.
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关键词
knowledge,domain,loss,constraint
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