Yanela Strappa

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
Markov networks are models for compactly representing complex probability distributions. They are composed by a structure and a set of numerical weights. The structure qualitatively describes independences in the distribution, which can be exploited to factorize the distribution into a set of compact functions. A key application for learning structures from(More)
  • 1