Sentence examples for nodes of the graphical from inspiring English sources
The other approach is to use matrix methods by forming ratios of graph theoretic and Euclidean distances between nodes of the graphical plots, first formulated for DNA sequences in Randic et al [22].
The "Ingredients" and "FoodProcess" nodes are the graphical representation of food processing chains and contain information on food processing parameters.
We model humans using a graphical model which has a tree structure building on recent work [32, 6] and exploit the connectivity prior that, even in presence of occlusion, the visible nodes form a connected subtree of the graphical model.
Any variable (node) in the graphical structure may have any number of parents, including no parents.
Pudimat et al. (2004) models a variety of features to assist in predicting binding sites, but selects the set of features in a greedy fashion, and models the features as nodes of a generic graphical model, causing topology selection of the graphical model to be NP-hard (Pearl, 1988).
The structures of the graphical model under two conditions are obtained jointly by solving (4) sequentially for all nodes.
The full extent of the graphical part roughly consists of a hundred graphical components.
The program takes care of the graphical user interface.
First, it is possible to fuse the nodes and to bundle all of their arcs into this new node (translation cl1), but the graphical representation could become confusing or unclear depending on the size and the density of the map.
Nodes in the probabilistic graphical model correspond to random variables, which represent the fluxes of biochemical reactions in metabolic network, and its directed arcs from a variable to another indicate the direction of influences between them.
The traditional approach to knowledge engineering in this situation would be to maintain a library of fragments, where the graphical structure is specified using a graphical editor and then the probabilities are entered using a separate spreadsheet for each node.
