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Semiparametric Latent Variable Models for Guided Representation
Variable Models Semiparametric Latent Guided
2011/3/18
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for learning features re...
Learning about a Categorical Latent Variable under Prior Near-Ignorance
Prior near-ignorance latent and manifest variables observational processes vacuous beliefs imprecise probability
2010/4/29
It is well known that complete prior ignorance is not compatible with
learning, at least in a coherent theory of (epistemic) uncertainty. What is less
widely known, is that there is a state similar ...