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in this video well see an alternative for visualizing undirected graphical models like the conditional random field known as the factor graph weve seen in the previous video that one way of visualizing in conditional random field is to draw a network where each node would correspond to one of the random variables in the model and then we will draw an edge between each node that share at least one factor in the product of factors form of the conditional random field now one problem with this visualization is that its actually ambiguous so we notice for instance that we actually have a clip between and theres a mistake here this would be x2 we actually have a click between y1 y2 and x2 another click like this here that is a subset of the graph where each node each pair of node is connected to each other and this actually kind of suggests that perhaps that was a factor that had as its three arguments y1 y2 and x2 because in this case that I have to draw an edge between y1 y2 an edge
