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» Benchmark Generation Using Domain Specific Modeling
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RECOMB
2003
Springer
16 years 6 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
WSC
2007
15 years 8 months ago
Using intelligent agents to understand management practices and retail productivity
Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agentbased modeling and simulation to investigate a set of problems in a...
Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chri...
ICML
1999
IEEE
16 years 7 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
CVPR
2000
IEEE
16 years 8 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
FPGA
2006
ACM
111views FPGA» more  FPGA 2006»
15 years 10 months ago
FPGA clock network architecture: flexibility vs. area and power
This paper examines the tradeoffs between flexibility, area, and power dissipation of programmable clock networks for FieldProgrammable Gate Arrays (FPGA's). The paper begins...
Julien Lamoureux, Steven J. E. Wilton