— This research describes a non-interactive process that applies several forms of computational intelligence to the task of classifying biopsy lung tissue samples based on visual...
Walker H. Land Jr., Daniel W. McKee, Tatyana Zhuko...
— Large graphs and networks are abundant in modern information systems: entity-relationship graphs over relational data or Web-extracted entities, biological networks, social onl...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
The last few years, there has been an extensive body of literature in data warehousing applications that primarily focuses on basket-type (transactional) data, common in retail in...