Date
Markov Random FieldThat is, Markov network, which is a model described by an undirected graph, containing a set of nodes, each node corresponds to a single variable or a group of variables, and the links between nodes are undirected.
The Markov random field describes that among multiple data points, there is no clear front-back or directional relationship between two points. Although there is interaction between the two points, it only exists between nearby points and has nothing to do with farther points or the frontmost points.
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
Date
Markov Random FieldThat is, Markov network, which is a model described by an undirected graph, containing a set of nodes, each node corresponds to a single variable or a group of variables, and the links between nodes are undirected.
The Markov random field describes that among multiple data points, there is no clear front-back or directional relationship between two points. Although there is interaction between the two points, it only exists between nearby points and has nothing to do with farther points or the frontmost points.
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.