Theoretical Aspects of Machine Learning and Artificial Intelligence

机器学习和人工智能的理论方面

• 批准号: 8914428
• 负责人: Ronald Rivest
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-01-15 至 1993-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8914428&HistoricalAwards=false
• 关键词: Theoretical; Aspects; Machine; Learning; Artificial

The PI plans to work on provably effective techniques for machine learning in the area of theoretical aspects of artificial intelligence. Some topics to be studied are: techniques for learning an unknown system or environment by exploration, techniques for representing and utilizing prior knowledge, techniques for trading hypothesis complexity for fit to the data, learning deterministic systems with an infinite number of states and learning finite-state probabilistic systems with probabilistic transitions or output functions.

PI计划在人工智能的理论方面研究可证明有效的机器学习技术。 要研究的一些主题是：通过探索来学习未知系统或环境的技术，用于代表和利用先验知识的技术，用于拟合数据的交易假设复杂性的技术，学习无限数量的状态的确定性系统以及具有概率过渡或输出功能的有限状态概率系统。