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Classification by bootstrapping in single particle methods. - Google 檢索
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The aim of the bootstrapping technique [6] is to estimate the sampling distribution of an estimator by sampling with replacement from a given sample. It is a?...
In this work, we examine bootstrap techniques for classifying the projection data. When these techniques are applied to variance estimation, the projection?...
In this work, we examine bootstrap techniques for classifying the projection data. When these techniques are applied to variance estimation, the projection?...
In this work, we examine bootstrap techniques for classifying the projection data. When these techniques are applied to variance estimation, the projection?...
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This work examines bootstrap techniques for classifying the projection data in single-particle reconstruction methods and explains the rationale of these?...
In single-particle reconstruction methods, projections of macromolecules at random orientations are collected. Often, several classes of conformations or?...
CLASSIFICATION BY BOOTSTRAPPING IN SINGLE PARTICLE METHODS. In single-particle reconstruction methods, projections of macromolecules at random orientations?...
In single-particle reconstruction methods [1], projections of macromolecules at randomly unknown orientations are collected by an electron microscope.
The bootstrapping approach is performed by randomly selecting particle images or class ... One classification approach is via the covariance matrix, which?...
Abstract. Carrying out Bayesian inference over parameters of statistical models is intractable when the likelihood and the prior are non- conjugate.