We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
This paper presents a new implementation technique for priority search queues. This abstract data type is an amazing blend of finite maps and priority queues. Our implementation s...
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
Soft state in the middle tier is key to enabling scalable and responsive three tier service architectures. While softstate can be reconstructed upon failure, replicating it across...
Tudor Marian, Mahesh Balakrishnan, Ken Birman, Rob...