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» On Multiple Linear Approximations
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NIPS
1998
15 years 7 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
BMCBI
2007
197views more  BMCBI 2007»
15 years 6 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
JMLR
2008
150views more  JMLR 2008»
15 years 6 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
SIAMSC
2008
113views more  SIAMSC 2008»
15 years 6 months ago
An Efficient and Robust Method for Simulating Two-Phase Gel Dynamics
We develop a computational method for simulating models of gel dynamics where the gel is described by two phases, a networked polymer and a fluid solvent. The models consist of tra...
Grady B. Wright, Robert D. Guy, Aaron L. Fogelson
SIAMSC
2008
140views more  SIAMSC 2008»
15 years 6 months ago
Compact Fourier Analysis for Designing Multigrid Methods
The convergence of Multigrid methods can be analyzed based on a Fourier analysis of the method or by proving certain inequalities that have to be fulfilled by the smoother and by t...
Thomas K. Huckle