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PSB
2004
15 years 6 months ago
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
Xinghua Lu, Milos Hauskrecht, Roger S. Day
UAI
2004
15 years 6 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
ENVSOFT
2006
117views more  ENVSOFT 2006»
15 years 5 months ago
Land information system: An interoperable framework for high resolution land surface modeling
Knowledge of land surface water, energy, and carbon conditions are of critical importance due to their impact on many real world applications such as agricultural production, wate...
Sujay V. Kumar, Christa D. Peters-Lidard, Yudong T...
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JCO
2008
66views more  JCO 2008»
15 years 5 months ago
The hierarchical model for load balancing on two machines
Following previous work, we consider the hierarchical load balancing model on two machines of possibly different speeds. We first focus on maximizing the minimum machine load and ...
Orion Chassid, Leah Epstein
IDA
2002
Springer
15 years 4 months ago
A framework for modelling virus gene expression data
Short, high-dimensional, Multivariate Time Series (MTS) data are common in many fields such as medicine, finance and science, and any advance in modelling this kind of data would b...
Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christi...