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Learning Planar Ising Models
The dataset used in this paper is a collection of binary random variables with known pairwise marginals. -
Gaussian Graphical Models
The dataset used in the paper is a collection of n independent samples from a multivariate normal distribution defined on a graph G = (V, E) with |V| = p and bounded maximum... -
Relations World: A Possibilistic Graphical Model
The dataset used for modeling family relations using possibilistic graphical models. -
Approximating the Bethe partition function
The dataset used in the paper is a binary pairwise Markov random field (MRF) model, where each variable takes one of two possible values, and pairwise relationships between... -
Lattice Proteins
Lattice-protein (LP) models were introduced in the 90s to investigate the properties of proteins, particularly how their structure depend on their sequences. They were recently...
