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» Complexity of Inference in Graphical Models
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SIGGRAPH
2010
ACM
14 years 3 days ago
Illustrating how mechanical assemblies work
How things work visualizations use a variety of visual techniques to depict the operation of complex mechanical assemblies. We present an automated approach for generating such vi...
Niloy J. Mitra, Yong-Liang Yang, Dong-Ming Yan, Wi...
SEMWEB
2005
Springer
14 years 1 months ago
Representing Probabilistic Relations in RDF
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...
Yoshio Fukushige
ACG
2009
Springer
14 years 2 months ago
Performance and Prediction: Bayesian Modelling of Fallible Choice in Chess
Evaluating agents in decision-making applications requires assessing their skill and predicting their behaviour. Both are well developed in Poker-like situations, but less so in mo...
Guy Haworth, Kenneth W. Regan, Giuseppe Di Fatta
ICMLA
2010
13 years 5 months ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang
COMPSAC
2002
IEEE
14 years 17 days ago
A Graphically Based Language for Constructing, Executing and Analysing Models of Software Systems
With computer systems becoming ever larger and more complex, the cost and effort associated with their construction is increasing and the systems are now sufficiently complex that...
Robert John Walters