开课单位--堪萨斯大学
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Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics[建构主义学习:透明预测分析的学习范式]
Jun (Luke) Huan(堪萨斯大学) Developing transparent predictive analytics has attracted significant research attention recently. There have been multiple theories on how to model l...
热度:17
Jun (Luke) Huan(堪萨斯大学) Developing transparent predictive analytics has attracted significant research attention recently. There have been multiple theories on how to model l...
热度:17
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Boosting with Structure Information in the Functional Space: an Application to Graph Classification[函数空间中结构信息的提升:图分类的应用]
Hongliang Fei(堪萨斯大学) Boosting is a very successful classification algorithm that produces a linear combination of "weak" classifiers (a.k.a. base learners) to ob...
热度:22
Hongliang Fei(堪萨斯大学) Boosting is a very successful classification algorithm that produces a linear combination of "weak" classifiers (a.k.a. base learners) to ob...
热度:22
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