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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 8 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
FOSSACS
2010
Springer
15 years 7 months ago
Linearly-Used Continuations in the Enriched Effect Calculus
Abstract. The enriched effect calculus is an extension of Moggi's computational metalanguage with a selection of primitives from linear logic. In this paper, we present an ext...
Jeff Egger, Rasmus Ejlers Møgelberg, Alex S...
MVA
1990
15 years 5 months ago
Edge Visibility Regions - A New Representation of the Environment of a Mobile Robot
This paper proposes a novel representation of the free space of mobile robot by distinct, non-overlapping regions called Edge Visibility Regions (EVRs). An algorithm to partition ...
Raj Talluri, J. K. Aggarwal
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 4 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler
ENTCS
2007
98views more  ENTCS 2007»
15 years 4 months ago
Frameworks Based on Templates for Rigorous Model-driven Development
The engineering of systems that are acceptably correct is a hard problem. On the one hand, semi-formal modelling approaches that are used in practical, large-scale system developm...
Nuno Amálio, Fiona Polack, Susan Stepney