In this paper, we analyze the performance of a mobile agent based approach for discovering and allocating resources in large scale networks. We compare this approach with the trad...
Biochemical reactions taking place in living systems that map different inputs to specific outputs are intuitively recognized as performing information processing. Conventional wis...
Haskell is a great language for writing and supporting embedded Domain Specific Languages (DSLs). Some form of observable sharing is often a critical capability for allowing so-c...
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— The paper considers the algorithm NLU for distributed (vector) parameter estimation in sensor networks, where, the local observation models are nonlinear, and inter-sen...