REU Site: Advances of Machine Learning in Theory and Applications (AMALTHEA)

REU 网站：机器学习理论与应用的进展 (AMALTHEA)

• 批准号: 1263011
• 负责人: Georgios Anagnostopoulos
• 金额: $ 36万
• 依托单位: Florida Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1263011&HistoricalAwards=false
• 关键词: REU; Site; Advances; Machine; Learning

The Advances of MAchine Learning in THEory & Applications (AMALTHEA) REU Site aims to provide top quality educational experiences to a diverse community of undergraduate students through research participation in the area of Machine Learning (ML). The relevance and importance of ML is not limited to specialized technological innovations, as it was in the past. Nowadays, it also increasingly influences everyday life through its contributions to applications such as voice/face recognition, credit fraud detection, intelligent recommendation systems and many others. Furthermore, ML is inherently multi-disciplinary as it draws from advances in disciplines such as computing, statistics, mathematics, physics, biology and engineering, to a name a few major ones. The project's thrust area is the theory of ML and how it can be integrated and applied to important real-life problems, thus exposing participants to both theory and applications. AMALTHEA involves 10 undergraduate students per year from a broad spectrum of disciplines for 10 weeks in the summer. These participants perform supervised research, whose results are going to impact the field of ML itself, as well as how ML is applied in other scientific disciplines. For this purpose, the faculty mentors have ample expertise in ML and past experience of effectively engaging undergraduate students into state-of-the-art research.Over its lifespan, the project will directly impact a diverse group of 30 motivated students, the majority of which may not have access to such research participation opportunities otherwise. The participants will be exposed to cutting-edge ML research, as well as professional development activities, such as technical seminars and career-related workshops. Furthermore, AMALTHEA aims to involve overall 10 graduate students in undergraduate teaching and mentoring activities during the summer experiences. Finally, the project's research and education endeavors are supported by its advisory board, which consists of seasoned educators, ML industry practitioners and researchers. Research results will be published in interdisciplinary conferences, and, potentially, technical journals.The REU Site web site (http://www.amalthea-reu.org) provides additional information for students as well as educators and researchers in machine learning.

机器学习理论与应用进展 (AMALTHEA) REU 网站旨在通过参与机器学习 (ML) 领域的研究，为多元化的本科生社区提供高质量的教育体验。机器学习的相关性和重要性并不像过去那样仅限于专业技术创新。如今，它还通过对语音/人脸识别、信用欺诈检测、智能推荐系统等应用的贡献，日益影响着日常生活。此外，机器学习本质上是多学科的，因为它借鉴了计算、统计学、数学、物理、生物学和工程学等主要学科的进步。该项目的重点领域是机器学习理论以及如何将其集成并应用于重要的现实问题，从而使参与者接触理论和应用。 AMALTHEA 每年有 10 名来自各个学科的本科生参加，在夏季为期 10 周。这些参与者进行监督研究，其结果将影响机器学习本身领域，以及机器学习在其他科学学科中的应用。为此，教师导师在机器学习方面拥有丰富的专业知识，并且过去曾有效地让本科生参与最先进的研究。在其生命周期中，该项目将直接影响由 30 名积极进取的学生组成的多元化群体，其中大多数是否则可能无法获得此类研究参与机会。参与者将接触到前沿的机器学习研究以及专业发展活动，例如技术研讨会和职业相关研讨会。此外，AMALTHEA 的目标是让 10 名研究生在暑期参与本科生教学和指导活动。最后，该项目的研究和教育工作得到了咨询委员会的支持，该委员会由经验丰富的教育工作者、机器学习行业从业者和研究人员组成。研究结果将在跨学科会议上发表，并可能在技术期刊上发表。REU Site 网站 (http://www.amalthea-reu.org) 为学生以及机器学习领域的教育工作者和研究人员提供更多信息。