The integration of bibliographical data today is considered one of the most important tasks in the area of digital libraries. Various available sources of bibliographical informati...
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...