The 2012 Machine Learning Summer School at UC Santa Cruz

2012 年加州大学圣克鲁斯分校机器学习暑期学校

• 批准号: 1239963
• 负责人: Manfred Warmuth
• 金额: $ 3万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1239963&HistoricalAwards=false
• 关键词: 2012; Machine; Learning; Summer; UC

The Machine Learning Summer Schools (http://mlss.cc) were established in 2002 with the aim of bringing together world class speakers from academia, the national labs, and industry to deliver tutorial-style lectures over a two week period. This project supports the two week long Machine Learning Summer School (MLSS) at UC Santa Cruz, CA during July 9-20 2012. Intellectual Merits: Machine learning has many important applications in science and industry. Modern machine learning uses a mix of insights from different disciplines, most notably artificial intelligence, statistics and optimization - areas that traditionally have not had much overlap. The participants will take part in tutorials given by experts from several different areas of machine learning - an opportunity that many students do not have at their home institutions. There is substantial integration of research and education in this activity. Furthermore, the participants will be able to interact with the tutorial speakers and with other students. Broader Impact: The Machine Learning Summer School is designed to enable participants with different backgrounds to gain in-depth knowledge of the current state of the art in machine learning. The participants will interact with leading machine learning experts from academia and industry. It contributes to the creation of a diverse cadre of machine learning researchers and practitioners by offering unique training opportunities for undergraduate and graduate students from under-represented groups through personalized mentoring and scholarships.

机器学习暑期学校 (http://mlss.cc) 成立于 2002 年，旨在汇集来自学术界、国家实验室和工业界的世界级演讲者，在两周内提供辅导式讲座。该项目支持 2012 年 7 月 9 日至 20 日在加利福尼亚州圣克鲁斯加州大学举办的为期两周的机器学习暑期学校 (MLSS)。 智力优点：机器学习在科学和工业领域有许多重要的应用。现代机器学习结合了来自不同学科的见解，尤其是人工智能、统计和优化——传统上没有太多重叠的领域。参与者将参加由机器学习多个不同领域的专家提供的教程——这是许多学生在其所在机构所没有的机会。这项活动将研究和教育充分结合起来。此外，参与者将能够与教程演讲者和其他学生互动。更广泛的影响：机器学习暑期学校旨在使不同背景的参与者能够深入了解机器学习的最新技术。参与者将与来自学术界和工业界的领先机器学习专家互动。它通过个性化的指导和奖学金，为代表性不足群体的本科生和研究生提供独特的培训机会，有助于培养多元化的机器学习研究人员和从业人员队伍。