Conditional Random Fields - Stanford University (By Daphne Koller)

One very important variant of Markov networks, that is probably at this point, more commonly used then other kinds, than anything that's not of this type is what's called a conditional random field. So a conditional random field, you can think of it as a, something that looks very much like a Markov network, but for a somewhat different purpose. So let's think about what we are trying to do here. This class of model is intended to deal with what we call task-specific prediction, that where we have a set of input variables for observed variables, X, we have a set of target variables that we're trying to predict y. And, the class of models is intended to, is designed for those cases where we always have the same types of variables is the instance variables in the same types of variables as the targets...

Видео Conditional Random Fields - Stanford University (By Daphne Koller) канала Machine Learning TV