Markov logic [7] is a simple yet powerful generalization of probabilistic graph- ical models and first-order logic, making it ideally suited for link mining. A Markov logic network is a set of weighted first-order formulas, viewed as tem- plates for constructing Markov networks.
Aug 13, 2010 · In this chapter, we describe Markov logic and its algorithms and show how they can be used as a general framework for link mining. We begin with ...
Learning algorithms are based on convex optimization, pseudo-likelihood, and inductive logic programming. Markov logic has been used successfully in a wide ...
This talks surveys Markov logic representation, inference, learning and applications. Inference algorithms combine ideas from satisfiability testing, resolution ...
... Markov logic to the problem of identifying social relation- ships in image collections pertaining to everyday users. Image collections are pervasive. Mining.
May 31, 2022 · Markov logic is a powerful new language that ... Inference algorithms for Markov logic ... mining. He received a PhD in Information and ...
Many important tasks in statistical relational learning, like collective classification, link prediction, link-based clustering, social network modeling, and ...
A Markov logic network is a first-order knowledge base with a weight attached to each formula, and can be viewed as a template for constructing Markov networks.
Markov Logic: A Language and Algorithms for Link Mining ... Link mining problems are characterized by high complexity (since linked objects are not statistically ...
Recently, we introduced Markov logic, a language that is conceptually simple, yet provides the full expressiveness of graphical models and first-order logic ...