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Predictive Active Set Selection Methods for Gaussian Processes
Gaussian process classifi cation active set selection predictive distribution expectation propagation
2011/3/24
We propose an active set selection framework for Gaussian process classification for cases when the dataset is large enough to render its inference prohibitive. Our scheme consists on a two step alter...
An Active Set Algorithm to Estimate Parameters in Generalized Linear Models with Ordered Predictors
ordered explanatory variable constrained estimation least squares logistic regression Coxregression active set algorithm
2010/3/18
In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariate...
Active Set and EM Algorithms for Log-Concave Densities Based on Complete and Censored Data
Active Set EM Algorithms Log-Concave Densities Complete and Censored Data
2010/4/30
We develop an active set algorithm for the maximum likelihood estimation of a
log–concave density based on complete data. Building on this fast algorithm, we introduce an EM algorithm to treat arbitr...