In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Publication records are often found in the authors' personal home pages. If such a record is partitioned into a list of semantic fields of authors, title, date, etc., the uns...
Wei Zhang, Clement T. Yu, Neil R. Smalheiser, Vetl...
Multi-modal image registration is a challenging problem in medical imaging. The goal is to align anatomically identical structures; however, their appearance in images acquired wit...
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
— To achieve high performance and resilience to failures, a client can make connections with multiple servers simultaneously and receive different portions of the data from each ...