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cs.LG2015★ 15 cited
The Libra Toolkit for Probabilistic Models
Daniel Lowd, Amirmohammad Rooshenas
The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, an…
cs.LG2012★ 6 cited
Closed-Form Learning of Markov Networks from Dependency Networks
Daniel Lowd
Markov networks (MNs) are a powerful way to compactly represent a joint probability distribution, but most MN structure learning methods are very slow, due to the high cost of eval…