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UAI
2000
13 years 10 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
BMCBI
2010
191views more  BMCBI 2010»
13 years 8 months ago
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions
Background: Genome-scale metabolic reconstructions under the Constraint Based Reconstruction and Analysis (COBRA) framework are valuable tools for analyzing the metabolic capabili...
Jan Schellenberger, Junyoung O. Park, Tom M. Conra...
ISVC
2009
Springer
14 years 3 months ago
Wavelet-Based Representation of Biological Shapes
Modeling, characterization and analysis of biological shapes and forms are important in many computational biology studies. Shape representation challenges span the spectrum from s...
Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yongga...
AMEC
2003
Springer
14 years 2 months ago
Improving Learning Performance by Applying Economic Knowledge
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
Christopher H. Brooks, Robert S. Gazzale, Jeffrey ...
CGF
2008
129views more  CGF 2008»
13 years 8 months ago
Caustic Forecasting: Unbiased Estimation of Caustic Lighting for Global Illumination
We present an unbiased method for generating caustic lighting using importance sampled Path Tracing with Caustic Forecasting. Our technique is part of a straightforward rendering ...
B. C. Budge, John C. Anderson, Kenneth I. Joy