图 书 馆开课单位--康奈尔大学
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71On Feature Selection, Bias-Variance, and Bagging[关于特征选择、偏差方差和装袋]
M. Arthur Munson(康奈尔大学) We examine the mechanism by which feature selection improves the accuracy of supervised learning. An empirical bias/variance analysis as feature selec...
热度：81
M. Arthur Munson(康奈尔大学) We examine the mechanism by which feature selection improves the accuracy of supervised learning. An empirical bias/variance analysis as feature selec...
热度：81
72Competing With Strategies[竞争策略]
Karthik Sridharan(康奈尔大学) We study the problem of online learning with a notion of regret defined with respect to a set of strategies. We develop tools for analyzing the minima...
热度：72
Karthik Sridharan(康奈尔大学) We study the problem of online learning with a notion of regret defined with respect to a set of strategies. We develop tools for analyzing the minima...
热度：72
73Online Learning: Beyond Regret [在线学习：排除遗憾]
Karthik Sridharan(康奈尔大学) We study online learnability of a wide class of problems, extending the results of [21] to general notions of performance measure well beyond external...
热度：266
Karthik Sridharan(康奈尔大学) We study online learnability of a wide class of problems, extending the results of [21] to general notions of performance measure well beyond external...
热度：266
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