Interactive online learning

互动在线学习

• 批准号: 341723-2012
• 负责人: Szepesvari, Csaba
• 金额: $ 3.06万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595470
• 关键词: Interactive; online; learning

Humans acquire most of their advanced sensing and acting capabilities by learning. The idea of the field of machine learning is to give computers similar learning capabilities so that through learning they can overcome the limitations imposed by our lack of understanding of how to solve complex tasks. Applications of machine learning algorithms abound. In our daily lives, machine learning algorithms help us by allowing us to speak to our phones, by filtering out e-mail spam, by translating documents, or by recognizing faces, either for security reasons or to label our friends on social networks.

人类通过学习获得了大部分先进的感知和行动能力。机器学习领域的想法是赋予计算机类似的学习能力，这样通过学习，它们就可以克服我们对如何解决复杂任务缺乏理解所带来的限制。机器学习算法的应用比比皆是。在我们的日常生活中，机器学习算法可以帮助我们与手机通话，过滤垃圾邮件，翻译文档或识别人脸，无论是出于安全原因还是为了标记我们在社交网络上的朋友。