Archive for October, 2010
Computing marginal distributions over continuous Markov networks for statistical relational learning
In: Conference| Publication
30 Oct 2010Conference Paper, Advances in Neural Information Processing Systems (NIPS), 2010, Vancouver, Canada
Authors: Matthias Broecheler and Lise Getoor
Direct link to paper
Data set used in the experiments
Abstract
Continuous Markov random fields are a general formalism to model joint probability distributions over events with continuous outcomes. We prove that marginal computation for constrained continuous MRFs is #P-hard in general [...]
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Where is the knowledge we have lost in information?
- T.S. Elliot, The Rock
We are drowning in data - exabytes of it. My research explores technologies that can help us organize, structure, and efficiently search huge amounts of information as well as automatically deduce actionable pieces of knowledge from it. Learn more
I was a PhD student at the University of Maryland with research interests in databases, artificial intelligence, and machine learning. Learn more
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