开课单位--渥太华大学
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Learning Multi-Dimensional Functions: Gas Turbine Engine Modeling [学习多维函数：燃气轮机建模]
  Chris Drummond(渥太华大学) Learning Multi-Dimensional Functions: Gas Turbine Engine Modeling
热度：42

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American Political Science Association and the Enterprise of Political Science[美国政治科学协会与政治学事业]
  Trent John E(渥太华大学)
热度：36

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Plenary session-ECML poster highlights[全体会议- ECML海报集锦 ]
  Stan Matwin(渥太华大学) 全体会议- ECML海报集锦
热度：31

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Smooth Receiver Operating Characteristics Curves (smROC)[平滑接收机工作特性曲线（SMROC）]
  William Klement(渥太华大学) Supervised learning algorithms perform common tasks including classification, ranking, scoring, and probability estimation. We investigate how scoring...
热度：38

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Discriminative Parameter Learning for Bayesian Networks[贝叶斯网络的判别参数学习]
  Jiang Su(渥太华大学) Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameter learning can take ...
热度：104

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Smooth Receiver Operating Characteristics (smROC) Curves[平滑接收器工作特性（smROC）曲线]
  William Klement(渥太华大学) Supervised learning algorithms perform common tasks including classification, ranking, scoring, and probability estimation. We investigate how scoring...
热度：98
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