The 2012 Machine Learning Summer School at UC Santa Cruz
The 2012 Machine Learning Summer School at UC Santa Cruz
批准号:
1239963
负责人:
Manfred Warmuth
金额:
$3.0万
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
项目状态:
已结题
起止时间:
2012-07-01 至 2013-06-30
中文摘要
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,在两周的时间内提供教程式的讲座。该项目将于2012年7月9日至20日在加州大学圣克鲁斯分校举办为期两周的机器学习暑期学校(MLSS)。智力优势:机器学习在科学和工业中有许多重要的应用。现代机器学习混合了来自不同学科的见解,最明显的是人工智能、统计学和优化——传统上没有太多重叠的领域。参与者将参加由几个不同机器学习领域的专家提供的教程,这是许多学生在自己的学校没有的机会。在这项活动中,研究和教育已大量结合起来。此外,参与者将能够与辅导课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具有不同背景的参与者能够深入了解当前机器学习的最新技术。与会者将与来自学术界和工业界的领先机器学习专家进行互动。它通过个性化指导和奖学金,为来自代表性不足群体的本科生和研究生提供独特的培训机会,从而有助于建立一支多元化的机器学习研究人员和实践者队伍。
英文摘要
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.
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会议论文
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依托单位:
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海外基金
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依托单位: