What's in a Domain? Multi-Domain Learning for Multi-Attribute Data


Multi-Domain learning assumes that a single metadata attribute is used in order to divide the data into so-called domains. However, real-world datasets often have multiple metadata attributes that can divide the data into domains. It is not always apparent which single attribute will lead to the best domains, and more than one attribute might impact… (More)


4 Figures and Tables