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研究项目的参与者，包括文本分析和健康信息学。学生项目预计将产生的结果，将有助于无处不在的基于软件的技术以创新的方式。学生被介绍给研究课题，并通过介绍性和持续的演讲帮助获得深入的理解。REU Site计划的重点是从研究机会有限的机构中培养未来的计算机科学家。重点是招收代表性不足的少数民族学生进入计算机科学研究在早期的年龄。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富有成效的研究人员。REU学生将参与机器学习及其在智能软件测试，智能编译器设计，健康信息学和自然语言处理等各种新兴领域的应用研究。学生有机会在实验室环境中利用理论阅读，分析和研究的组合。学生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的经验，以及在类似会议的环境中口头介绍他们的工作。关于这个项目的更多信息可以在科罗拉多斯普林斯的科罗拉多大学REU网站上找到（http：//www.cs.uccs.edu/rejkalita/reu.html）。