Statistical Relational Learning (SRL), an emerging area of Machine Learning, aims at modeling problems which exhibit complex relational structure as well as uncertainty. It uses a subset of first-order logic to represent relational properties, and graphical models to represent u…
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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…