Titlebook: Learning from Multiple Social Networks; Liqiang Nie,Xuemeng Song,Tat-Seng Chua Book 2016 Springer Nature Switzerland AG 2016

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細微的差異

Research Frontiers,terest inference. After that, we generalized the above two models to a series of multi-source multi-task learning models, and demonstrated the effectiveness of these models on practical applications, such as occupation prediction.

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Book 2016(3) How can we leverage the relatedness among sources to strengthen the learning performance? And (4) How can we jointly model the dual-heterogeneities: multiple tasks exist for the given application and each task has various features from multiple sources? These questions have been largely unexplor

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analogous

Liqiang Nie,Xuemeng Song,Tat-Seng Chuamodel the mechanical behavior of solids especially at micron- and nano-scales. This volume is a collection of twenty five written contributions by distinguished invited speakers from seven countries to the IUTAM Symposium on Size Effects on Material and Structural Behavior at Micron- and Nano-scales

開始發(fā)作

Liqiang Nie,Xuemeng Song,Tat-Seng Chuamodel the mechanical behavior of solids especially at micron- and nano-scales. This volume is a collection of twenty five written contributions by distinguished invited speakers from seven countries to the IUTAM Symposium on Size Effects on Material and Structural Behavior at Micron- and Nano-scales

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