图 书 馆开课单位--堪萨斯大学
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1Constructivism 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：26
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：26
2Boosting 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：25
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：25
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