We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Abstract. Defining persistence in terms of reachability is fundamental to achieving orthogonality of persistence. It is implicit to the principles of orthogonal persistence and is ...
John N. Zigman, Stephen Blackburn, J. Eliot B. Mos...
Distributed applications must often consider and select the appropriate trade-offs among three important aspects ? fault-tolerance, performance and resources. We introduce a novel ...
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...
We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Phili...