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UAI
2004
15 years 4 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
WSC
2000
15 years 4 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
BIBE
2010
IEEE
146views Bioinformatics» more  BIBE 2010»
15 years 4 months ago
Methods for Designing Reliable Probe Arrays
Recent advances in biosensing technologies have led to applications of biosensor probe arrays for rapid identification of biological agents such as drugs, gene expressions, protein...
Michele Lombardi, Luca Benini, Abhishek Garg, Giov...
CGF
2008
160views more  CGF 2008»
15 years 3 months ago
iCheat: A Representation for Artistic Control of Indirect Cinematic Lighting
Thanks to an increase in rendering efficiency, indirect illumination has recently begun to be integrated in cinematic lighting design, an application where physical accuracy is le...
Juraj Obert, Jaroslav Krivánek, Fabio Pella...
CGF
2008
137views more  CGF 2008»
15 years 3 months ago
Exploiting Visibility Correlation in Direct Illumination
The visibility function in direct illumination describes the binary visibility over a light source, e.g., an environment map. Intuitively, the visibility is often strongly correla...
Petrik Clarberg, Tomas Akenine-Möller