Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
If we abstract a sensor network as a network graph consisting of vertices and edges, where vertices represent sensor nodes and edges represent distance measurements between neighbo...
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Abstract. Risk analysis has been used to manage the security of systems for several decades. However, its use has been limited to offline risk computation and manual response. In c...