Inductive multi-task learning with multiple view data

KDD 2012
Pages: 543 - 551
Published: Aug 12, 2012
Abstract
In many real-world applications, it is becoming common to have data extracted from multiple diverse sources, known as null data. Multi-view learning (MVL) has been widely studied in many applications, but existing MVL methods learn a single task individually. In this paper, we study a new direction of multi-view learning where there are multiple related tasks with multi-view data (i.e. multi-view multi-task learning, or MVMT Learning). In our...
Paper Details
Title
Inductive multi-task learning with multiple view data
Published Date
Aug 12, 2012
Journal
Pages
543 - 551
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