REU Sites: Collaborative Research: Advances of Machine Learning in Theory & Applications (AMALTHEA)

标题：REU网站：协作研究：机器学习在理论和应用方面的进展(AMALTHEA)PI：Georgios C Anagnostopoulos机构：佛罗里达理工学院PI：Michael Georgiopoulos机构：中央佛罗里达大学AMALTHEA是两所位置较近的大学--墨尔本的佛罗里达理工学院和佛罗里达州奥兰多的中佛罗里达大学--之间的合作成果。该项目旨在通过参与机器学习(ML)领域的研究，为不同的学习者社区提供高质量的教育体验。如今，机器学习是一门非常重要、不断发展的学科，它从各种领域提取概念，包括人工智能、认知科学、信息论、统计学、数学、物理、哲学和生物学等。另一方面，自动目标识别、地震预测、基因表达发现、智能信用欺诈保护和深情计算等都是ML在各个技术和科学领域的前沿应用的例子。该项目的主要领域是ML的理论以及如何将其整合并应用于重要的现实生活问题，从而使参与者接触到理论和应用。AMALTHEA每年有10名本科生参加ML研究，时间为夏季的10周。总体而言，该项目将影响30名学生和12名研究生的不同群体，他们将参加本科生教学和辅导活动。本科生对ML主题进行监督研究，这些主题有可能影响ML本身的领域，以及ML如何应用于其他科学学科。REU的研究成果预计将发表在跨学科会议上，可能还会发表在技术期刊上。此外，这些REU的研究进展被反馈并整合到合作机构的ML相关课程的教学中。该项目涉及四名在ML研究和教育方面具有丰富整体经验的教员；他们指导了50多名本科生的研究，并与他们共同撰写了20多篇会议和期刊论文。该项目还得到了积极参与的咨询委员会的支持，咨询委员会由对ML感兴趣和专业知识的行业和政府专业人员组成。URL：http://my.fit.edu/amalthea

Title: REU Site: Collaborative Research: Advances of Machine Learning in Theory and Applications (AMALTHEA)PI: Georgios C Anagnostopoulos Institution: Florida Institute of TechnologyPI: Michael GeorgiopoulosInstitution: University of Central FloridaAMALTHEA is a collaborative effort between two closely-located universities, Florida Institute of Technology in Melbourne and University of Central Florida in Orlando, Florida. The project seeks to provide top quality educational experiences to a diverse community of learners through research participation in the area of Machine Learning (ML). Machine Learning is nowadays a high-importance, ever- expanding discipline that draws concepts from a variety of fields, including artificial intelligence, cognitive sciences, information theory, statistics, mathematics, physics, philosophy and biology among others. On the other hand, automatic target recognition, earthquake prediction, gene expression discovery, intelligent credit fraud protection and affectionate computing, to mention just a few, are examples of cutting-edge applications of ML in various technological and scientific domains. 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 ten undergraduate students annually in ML research over ten weeks in the summer. Overall, the project will impact a diverse group of 30 students, as well as 12 graduate students, which will participate in undergraduate teaching and mentoring activities. The undergraduate students perform supervised research on ML topics that have the potential to impact the field of ML itself, as well as how ML is applied to other scientific disciplines. REU research results are expected to be published in interdisciplinary conferences, and, potentially, technical journals. Additionally, these REU research advances are fed back and integrated into the teaching of ML-related courses at the partnering institutions.The project involves four faculty who have significant overall experience in ML research and education; they have mentored over 50 undergraduates in research and co-authored over 20 conference and journal papers with them. The project is also supported in its endeavors by an actively participating Advisory Board consisting of industry and government professionals with interest and expertise in ML.URL: http://my.fit.edu/amalthea