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网站计划涉及机器学习技术和新兴应用程序的研究项目，包括文本分析和健康信息学。预计学生项目将产生成果，以创新的方式为基于软件的技术促进基于软件的技术。向学生介绍了研究主题，并通过介绍和持续的演讲有助于获得深入的理解。 REU站点计划的重点是培训研究机会有限的机构的未来计算机科学家。重点是将代表性不足的少数族裔学生从小就招募到计算机科学研究中。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的生产研究人员。REU学生将参与机器学习研究及其在智能软件测试，智能构想，健康信息和自然语言处理等多样化和新兴领域的应用。学生有机会在实验室环境中利用理论阅读，分析和研究的结合。学生开发算法来解决有趣且及时的问题，开发软件，对新问题进行动手研究，进行实验，并获得撰写科学论文的经验，并在类似会议的环境中口头介绍他们的工作。有关该项目的更多信息，请参见科罗拉多大学科罗拉多斯普林斯REU网站网站（http://www.cs.uccs.edu/~jkalita/reu.html）。