Statistical machine learning algorithms deal with the problem of selecting an appropriate statistical model from a model space Θ based on a training set [special characters omitted] ⊂ X or [special characters omitted] ⊂ X × Y. In doing so they either implicitly or explicitly mak…
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In this dissertation, I explored relational learning via latent variable models. Traditional machine learning algorithms cannot handle many learning problems where there is a need for modeling both relations and noise. Statistical relational learning approaches emerged to handle…