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» Approximate algorithms for neural-Bayesian approaches
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WABI
2007
Springer
15 years 4 months ago
Predicting Protein Folding Kinetics Via Temporal Logic Model Checking
Christopher James Langmead⋆ and Sumit Kumar Jha Department of Computer Science, Carnegie Mellon University We present a novel approach for predicting protein folding kinetics us...
Christopher James Langmead, Sumit Kumar Jha
PODC
2000
ACM
15 years 1 months ago
Efficient atomic broadcast using deterministic merge
We present an approach for merging message streams from producers distributed over a network, using a deterministic algorithm that is independent of any nondeterminism of the syst...
Marcos Kawazoe Aguilera, Robert E. Strom
DAC
2007
ACM
15 years 11 months ago
Parameterized Macromodeling for Analog System-Level Design Exploration
In this paper we propose a novel parameterized macromodeling technique for analog circuits. Unlike traditional macromodels that are only extracted for a small variation space, our...
Jian Wang, Xin Li, Lawrence T. Pileggi
RECOMB
2008
Springer
15 years 10 months ago
Computation of Median Gene Clusters
Whole genome comparison based on gene order has become a popular approach in comparative genomics. An important task in this field is the detection of gene clusters, i.e. sets of g...
Sebastian Böcker, Katharina Jahn, Julia Mixta...
ICIP
1999
IEEE
15 years 2 months ago
Nonlinear Multigrid Optimization for Bayesian Diffusion Tomography
Optical diffusion tomography attempts to reconstruct an object cross section from measurements of scattered and attenuated light. While Bayesian approaches are well suited to this...
Jong Chul Ye, Charles A. Bouman, Rick P. Millane, ...