Cooperative USA-Latvia Research

该奖项资助了美国和拉脱维亚研究人员之间的合作研究工作。更具体地说，该项目支持拉脱维亚研究员访问马里兰大学与PI合作研究的旅费。奖励期限为两年。这项研究探讨了机器学习领域的问题。该项目研究了一个学习算法必须搜索的假设空间的相对大小，以找到一个正确的解决方案。几个新的范例学习的观点被用于研究。该项目还概括了正则表达式，正则表达式是术语重写系统的扩展，实际的学习算法已经实现。该项目开发了将这些实现扩展到更广泛的函数类的技术。

This award funds a cooperative research effort between US and Latvian researchers. Mores specifically, this project supports the travel expenses of a Latvian researcher to visit the University of Maryland for the collaborative research with the PI. The award period is for two years. The research examines issues in the area of machine learning. The project studies relative sizes of the hypothesis space that a learning algorithm must search through in order to find a correct solution. Several new views of learning by examples are used for investigation. The project also generalizes regular expressions, which are extensions of the term rewriting systems for which practical learning algorithms have been implemented. The project develops techniques for extending these implementations to a broader class of functions.