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SGAI
2004
Springer
14 years 28 days ago
Exploiting Causal Independence in Large Bayesian Networks
The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on t...
Rasa Jurgelenaite, Peter J. F. Lucas
ICML
2005
IEEE
14 years 8 months ago
Dirichlet enhanced relational learning
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Pe...
NIPS
2004
13 years 9 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
LOCA
2005
Springer
14 years 1 months ago
Issues and Requirements for Bayesian Approaches in Context Aware Systems
Research in advanced context-aware systems has clearly shown a need to capture the inherent uncertainty in the physical world, especially in human behavior. Modelling approaches th...
Michael Angermann, Patrick Robertson, Thomas Stran...
IEEEARES
2010
IEEE
14 years 2 months ago
A Complexity Based Model for Quantifying Forensic Evidential Probabilities
- An operational complexity model (OCM) is proposed to enable the complexity of both the cognitive and the computational components of a process to be determined. From the complexi...
Richard E. Overill, Jantje A. M. Silomon, Kam-Pui ...