In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...
Abstract In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. This pa...
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
The use of mobile applications is increasing rapidly. Particularly, mobile applications for decision support systems, such as mobile datawarehouses, are very attractive. However, ...
The web has become an important medium for news delivery and consumption. Fresh content about a variety of topics, events, and places is constantly being created and published on ...