REU Site: Machine Learning, Theory and Applications

REU 网站：机器学习、理论与应用

• 批准号: 1359275
• 负责人: Jugal Kalita
• 金额: $ 35.99万
• 依托单位: University of Colorado at Colorado Springs
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1359275&HistoricalAwards=false
• 关键词: REU; Site; Machine; Learning; Theory

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).

REU Site 计划涉及机器学习技术和新兴应用（包括文本分析和健康信息学）研究项目的参与者。学生项目预计将产生成果，以创新的方式为无处不在的基于软件的技术做出贡献。向学生介绍研究主题，并通过介绍性和持续性的演示帮助他们获得深入的理解。 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。重点是招募代表性不足的少数族裔学生从小就参与计算机科学研究。研究经验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智能软件测试、智能编译器等各种新兴领域的应用研究。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结合理论阅读、分析和研究。学生开发算法来解决有趣且及时的问题，开发软件，对新问题进行实践研究，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介绍其工作的经验。有关该项目的更多信息，请访问科罗拉多大学科罗拉多斯普林斯分校 REU 网站 (http://www.cs.uccs.edu/~jkalita/reu.html)。