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

标题：REU网站：合作研究：机器学习理论与应用的进展（AMALTHEA）PI: Georgios C Anagnostopoulos机构：佛罗里达理工学院i: Michael georgiopoulos机构：佛罗里达中央大学AMALTHEA是两所位于墨尔本的佛罗里达理工学院和佛罗里达州奥兰多的佛罗里达中央大学之间的合作努力。该项目旨在通过参与机器学习（ML）领域的研究，为多样化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的、不断扩展的学科，它从各个领域汲取概念，包括人工智能、认知科学、信息论、统计学、数学、物理学、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，仅举几例，是ML在各个技术和科学领域的前沿应用的例子。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，从而使参与者同时接触到理论和应用。AMALTHEA每年让10名本科生在夏季进行为期10周的机器学习研究。总体而言，该项目将影响到30名学生和12名研究生，他们将参与本科教学和指导活动。本科生对机器学习主题进行监督研究，这些主题有可能影响机器学习本身的领域，以及机器学习如何应用于其他科学学科。REU的研究成果预计将在跨学科会议上发表，并可能在技术期刊上发表。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。该项目涉及四名在机器学习研究和教育方面具有丰富经验的教师；他们指导了50多名本科生进行研究，并与他们共同撰写了20多篇会议和期刊论文。该项目还得到了一个积极参与的咨询委员会的支持，该委员会由对ML.URL: http://my.fit.edu/amalthea感兴趣和专业知识的行业和政府专业人士组成

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