Majority votes and duality in machine learning

机器学习中的多数票和二元性

• 批准号: 262067-2008
• 负责人: Laviolette, François
• 金额: $ 1.82万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=503411
• 关键词: Majority; votes; duality; machine; learning

This program of research belongs to Machine Learning, a subfield of Artificial intelligence. More specifically, this work is related to the Classification theory (also called Pattern Recognition), and to Reinforcement Learning theory (a theory of sequential decision making under uncertainty). My long run objective is to contribute to mathematical fundaments of Machine Learning, using my expertise in other fields.

这个研究项目属于机器学习，人工智能的一个子领域。更具体地说，这项工作与分类理论（也称为模式识别）和强化学习理论（不确定性下的顺序决策理论）有关。我的长期目标是利用我在其他领域的专业知识，为机器学习的数学基础做出贡献。