- Vivi Padova
- Il Bo
Venerdì 17 Marzo 2017 alle ore 11:00 in Aula 1C150, Radim Nedbal (assegnista di ricerca presso il Dipartimento di Matematica / FBK Trento) terrà un seminario dal titolo “Variational Markov Logic”.
A novel framework for statistical relational learning. We name it variational Markov logic to stress the similarity and also the main difference from Markov logic. In both, a first-order logic theory is mapped to a probability distribution function (PDF) over interpretations of the theory. Unlike Markov logic, which yields maximum a posteriori or maximum-likelihood approximation of the PDF using sampling methods, variational Markov logic yields the Bayesian posterior PDF inferred by variational techniques in a purely symbolic way, avoiding numeric calculations. This is crucial for efficiency, and it is due to the representation of the domain model as a variational Markov logic network. The goal of the presentation is to give a high level insight into the problem in terms of main concepts of SRL: Language, Model, Representation, Interpretation, Query, Algorithms. In particular, I'd like to spend more time with Algorithms based on variational techniques and point out opportunities for future improvement.