0


多类的一个推进理论

A Theory of Multiclass Boosting
课程网址: http://videolectures.net/nips2010_mukherjee_tmb/  
主讲教师: Indraneel Mukherjee
开课单位: 普林斯顿大学
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
增强结合弱分类器形成高度精确的预测。虽然二进制分类的情况已经被很好地理解,但是在多类设置中,对弱分类器的正确要求或最有效的提升算法的概念都不复存在。在本文中,我们创建了一个广泛而通用的框架,在这个框架中,我们精确地确定弱分类器的最佳需求,并在一定意义上设计出最有效的增强算法来满足这些需求。
课程简介: Boosting combines weak classifiers to form highly accurate predictors. Although the case of binary classification is well understood, in the multiclass setting, the "correct" requirements on the weak classifier, or the notion of the most efficient boosting algorithms are missing. In this paper, we create a broad and general framework, within which we make precise and identify the optimal requirements on the weak-classifier, as well as design the most effective, in a certain sense, boosting algorithms that assume such requirements.
关 键 词: 计算机科学; 机器学习; 助推; 算法
课程来源: 视频讲座网
最后编审: 2019-11-22:cwx
阅读次数: 35