REU Site: Machine Learning, Theory and Applications

REU网站项目涉及机器学习技术和新兴应用研究项目的参与者，包括文本分析和健康信息学。学生的项目将以创新的方式为无处不在的基于软件的技术做出贡献。学生们被介绍到研究课题，并通过介绍性和持续的演讲获得深入的理解。REU Site计划的重点是培训来自研究机会有限的机构的未来计算机科学家。重点是在早期招募代表性不足的少数民族学生进入计算机科学研究。研究经历将鼓励这些学生在未来的职业生涯中成为学术和非学术环境中富有成效的研究人员。REU的学生将参与机器学习及其在各种新兴领域的应用研究，如智能软件测试、智能编译器设计、健康信息学和自然语言处理。学生有机会在实验室环境中综合运用理论阅读、分析和研究。学生们开发算法来解决有趣和及时的问题，开发软件，对新问题进行动手研究，进行实验，并获得撰写科学论文和在类似会议的环境中口头展示他们的工作的经验。关于这个项目的更多信息可以在科罗拉多大学科罗拉多斯普林斯分校REU网站上找到（http://www.cs.uccs.edu/~jkalita/reu.html）。

The REU Site program involves participants in research projects in machine learning techniques and emerging applications, including text analytics and health informatics. Student projects are expected to yield results that will contribute to ubiquitous software-based technologies in innovative ways. The students are introduced to the research topics and helped to obtain in-depth understanding through introductory and on-going presentations. The REU Site program is focusing on training future computer scientists from institutions with limited research opportunities. An emphasis is given to recruiting under-represented minority students into computer science research at an early age. The research experience will encourage these students to be productive researchers in academic and non-academic environments during their future careers.The REU students will be involved in research in machine learning and its applications in diverse and emergent areas such as intelligent software testing, intelligent complier design, health informatics and natural language processing. Students have the opportunity to utilize a combination of theoretical reading, analysis, and research within laboratory environments. The students develop algorithms to solve interesting and timely problems, develop software, perform hands-on research on novel problems, conduct experiments, and gain experience writing scientific papers and in oral presentation of their work in a conference-like setting. More information on this project can be found at the University of Colorado at Colorado Springs REU Site website (http://www.cs.uccs.edu/~jkalita/reu.html).