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» Regularization Methods for Additive Models
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ISVC
2010
Springer
15 years 28 days ago
A Novel Consistency Regularizer for Meshless Nonrigid Image Registration
In nonrigid motion analysis, deformation fields are often modeled using splines defined on a control-point grid. Inspired by recent development of meshfree methods, we propose a no...
Wei Liu, Eraldo Ribeiro
BMCBI
2011
14 years 6 months ago
Hierarchical graphs for rule-based modeling of biochemical systems
Background: In rule-based modeling, graphs are used to represent molecules: a colored vertex represents a component of a molecule, a vertex attribute represents the internal state...
Nathan W. Lemons, Bin Hu, William S. Hlavacek
CEC
2010
IEEE
14 years 6 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
ICIP
2003
IEEE
16 years 1 months ago
A Bayesian approach to inclusion and performance analysis of using extra information in bioelectric inverse problems
Due to attenuation and spatial smoothing that occurs in the conducting media, the bioelectric inverse problem of estimating sources from remote measurements is ill-posed and solut...
Yesim Serinagaoglu, Dana H. Brooks, Robert S. MacL...
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ICML
2007
IEEE
16 years 16 days ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao