论文标题
机器学习中域知识整合的路线图
A Roadmap to Domain Knowledge Integration in Machine Learning
论文作者
论文摘要
近年来已经开发了许多机器学习算法，以提高人工智能不同方面的模型的性能。但是由于数据和资源不足，问题仍然存在。在机器学习模型中集成知识可以帮助克服一定程度的这些障碍。不过，由于各种形式的知识表示，合并知识是一项复杂的任务。在本文中，我们将简要概述这些不同形式的知识整合及其在某些机器学习任务中的表现。
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.
