Eleonora De Leonardis

most citedLarge Pseudo-Counts and

L_{2}

-Norm Penalties Are Necessary for the Mean-Field Inference of Ising and Potts Models

29 citations · 29 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.QM2014★ 29 cited

Large Pseudo-Counts and $L_{2}$ -Norm Penalties Are Necessary for the Mean-Field Inference of Ising and Potts Models

J. P. Barton, S. Cocco, E. De Leonardis +1

Mean field (MF) approximation offers a simple, fast way to infer direct interactions between elements in a network of correlated variables, a common, computationally challenging pr…

Large Pseudo-Counts and L2​-Norm Penalties Are Necessary for the Mean-Field Inference of Ising and Potts Models

Large Pseudo-Counts and $L_{2}$ -Norm Penalties Are Necessary for the Mean-Field Inference of Ising and Potts Models