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art model
A state of the art model, paving the path from genes to behavior, is offered by transgenic animals.
      
Effects from gluon radiation are clearly demonstrated by comparison with a state-of-the-art model inlcuding QCD parton cascade evolution and string hadronization, which gives in general good agreement with the data.
      
A scenario of European climate change for the late twenty-first century is described, using a high-resolution state-of-the-art model.
      
The results demonstrate that the technique provides significant performance benefits over static program slicing using state-of-the-art model checkers.
      
Experiments are now underway applying this process to the NCAR/CCM3, a state-of-the-art model.
      
A Fuzzy ART model generates a new category if the existing categories are not suitable for the input pattern.
      
All pairs produced by the ART model are accurately quite similar.
      
Almost all the pairs predicted by the ART model look reasonable while many of those predicted by SNA are not at all.
      
Before describing the ART model, we first describe three related models.
      
Comparison however with a state-of-the-art model showed that with two nodes and two thermal capacitances the accuracy increased significantly.
      
Given the topic distributions of email conversations, the ART model could predict the role-relationships of author and recipient.
      
If the selected area is unwanted even though it has salient features, the ART model trains and memorize that area.
      
In the proposed model, the vigilance value in the ART model is used as a decision parameter whether the selected area is interesting or not.
      
Table 3 shows the closest pairs, as calculated by the ART model and SNA model.
      
Thus the discovery of topics in the ART model is influenced by the social structure in which messages are sent and received.
      
The ART model is a Bayesian network that simultaneously models message content, as well as the directed social network in which the messages are sent.
      
The FARSITE model is a state of the art model for predicting the spread and intensity of fires across a landscape.
      
Therefore, the ART model inhibited those unwanted salient areas not so as to give an attention to them.
      
The results of categorization of 463 genes by Fuzzy ART model, hierarchical clustering and k-means clustering are given in Table 1.
      
We do not ambition here to describe a state of the art model for image classification.
      
 

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