In this paper we study distributed algorithms on massive graphs where links represent a particular relationship between nodes (for instance, nodes may represent phone numbers and ...
Florent Becker, Adrian Kosowski, Nicolas Nisse, Iv...
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Answer-set programming (ASP) solvers must handle difficult computational problems that are NP-hard. These solvers are in the worst case exponential and their scope of applicabilit...
Raphael A. Finkel, Victor W. Marek, Neil Moore, Mi...
Abstract. Detecting repeated portions of strings has important applications to many areas of study including data compression and computational biology. This paper defines and pres...
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keer...