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ICML
2008
IEEE
16 years 7 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
PERCOM
2006
ACM
16 years 6 months ago
Deterministic and Probabilistic Implementation of Context
This paper addresses the problem of implementing an context model. First, the abstract context model is represented by a network of situations. Two different implementations for t...
Oliver Brdiczka, Dominique Vaufreydaz, Jér&...
TPDS
2008
111views more  TPDS 2008»
15 years 6 months ago
Comments on "Optimal Resource Allocation in Overlay Multicast"
In this comments paper, we revisit the network model introduced in [1]. We discuss the inaccuracy of the model and, to correct the network model, we propose to apply directed capac...
Jinyao Yan, Martin May, Bernhard Plattner
ESANN
2003
15 years 8 months ago
Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river
: In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water...
Biswanath Bhattacharya, Dimitri P. Solomatine
CONTEXT
2001
Springer
15 years 11 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...