Decoder architectures for architecture-aware Raptor codes having regular message access-and-processing patterns are presented. Raptor codes are a class of concatenated codes compo...
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. An active area of research in computer science is the prevention of violations of object protocols, i.e., restrictions on temporal orderings of method calls on an object....
Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...