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» Using Neural Nets to Estimate Evolutionary Parameters
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NIPS
2003
13 years 9 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
CSDA
2007
120views more  CSDA 2007»
13 years 8 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder
ICANN
2009
Springer
14 years 1 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
NIPS
2007
13 years 9 months ago
Continuous Time Particle Filtering for fMRI
We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Fu...
Lawrence Murray, Amos J. Storkey
BMCBI
2004
102views more  BMCBI 2004»
13 years 8 months ago
FRAGS: estimation of coding sequence substitution rates from fragmentary data
Background: Rates of substitution in protein-coding sequences can provide important insights into evolutionary processes that are of biomedical and theoretical interest. Increased...
Estienne C. Swart, Winston A. Hide, Cathal Seoighe