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» Complexity of Inference in Graphical Models
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CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 8 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
SI3D
2006
ACM
14 years 4 months ago
Normal mapping for precomputed radiance transfer
Normal mapping is a variant of bump mapping that is commonly used in computer games. It models complex surface variations by explicitly storing a surface normal in a texture map. ...
Peter-Pike J. Sloan
BMCBI
2006
126views more  BMCBI 2006»
13 years 10 months ago
A joint model of regulatory and metabolic networks
Background: Gene regulation and metabolic reactions are two primary activities of life. Although many works have been dedicated to study each system, the coupling between them is ...
Chen-Hsiang Yeang, Martin Vingron
NIPS
2004
13 years 11 months ago
Modelling Uncertainty in the Game of Go
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
David H. Stern, Thore Graepel, David J. C. MacKay
SMA
2005
ACM
167views Solid Modeling» more  SMA 2005»
14 years 3 months ago
Boolean operations on 3D selective Nef complexes: optimized implementation and experiments
Nef polyhedra in d-dimensional space are the closure of half-spaces under boolean set operation. In consequence, they can represent non-manifold situations, open and closed sets, ...
Peter Hachenberger, Lutz Kettner