Proposal for Student Poster Program and Travel Scholarships 23rd International Conference on Machine Learning (ICML 2006)

第 23 届国际机器学习会议 (ICML 2006) 学生海报计划和旅行奖学金提案

• 批准号: 0632428
• 负责人: Rich Caruana
• 金额: $ 1.4万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0632428&HistoricalAwards=false
• 关键词: Proposal; Student; Poster; Program; Travel

Proposal 0632428"Proposal for Student Poster Program and Travel Scholarships 23rd International Conference on Machine Learning (ICML 2006)"PI: Rich A. CaruanaCornell UniversityThis award provides funds to help subsidize travel and registration costs for selected students to attend and participate in the 23rd International Conference on Machine Learning (ICML 2006) to be held June 25-29, 2006 at Carnegie Mellon University, Pittsburgh, Pennsylvania. Students will be selected through an application process. Selected students will present results on their research projects in poster sessions that are integrated in the conference program. These sessions are designed to provide the students with feedback from senior researchers from the international machine learning community. Students will also have the opportunity to attend tutorials, especially on material not taught to them at their home institutions, and to hear invited talks and presentations on state-of-the-art research on machine learning. These activities will provide students with invaluable exposure to outside perspectives on their work at a critical time in their research and will contribute to the professional development of young scientists in the important field of machine learning.

提案 0632428“第 23 届国际机器学习会议 (ICML 2006) 学生海报计划和旅行奖学金提案”PI：Rich A. Caruana 康奈尔大学该奖项提供资金，帮助资助选定学生参加将于 2006 年 6 月 25 日至 29 日在卡内基梅隆举行的第 23 届机器学习国际会议 (ICML 2006) 的旅行和注册费用大学，匹兹堡， 宾夕法尼亚州。学生将通过申请流程被选拔。选定的学生将在会议计划中纳入的海报会议中展示其研究项目的结果。这些课程旨在为学生提供国际机器学习社区高级研究人员的反馈。学生还将有机会参加教程，特别是有关其所在机构未教授的材料，并聆听有关机器学习最先进研究的受邀演讲和演示。这些活动将为学生在研究的关键时刻提供宝贵的接触外部观点的机会，并将有助于年轻科学家在机器学习这一重要领域的专业发展。