Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
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Rong Jin (Michigan State University), Shijun Wang...
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
The practice of software development can likely be improved if an externalized model of each programmer's knowledge of a particular code base is available. Some tools already...
Little is known about how developers think about design during code modification tasks or how experienced developers' design knowledge helps them work more effectively. We pe...
Thomas D. LaToza, David Garlan, James D. Herbsleb,...
Various online social networks (OSNs) have been developed rapidly on the Internet. Researchers have analyzed different properties of such OSNs, mainly focusing on the formation an...
Lei Guo, Enhua Tan, Songqing Chen, Xiaodong Zhang,...