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However, TV and MGS produced false features around x = − 0.5 and x = 0.5 (Fig. 4d), respectively.
For model B, TV and MGS produced lots of false features around x = − 0.8 and x = 0.2 (Fig. 5d).
However, the MS and MGS results appear to be unstable and produce some false features around x = − 0.5 and x = 0.8 (black circles in Fig. 4c).
When β 2 was decreased further to 0.0001 (Fig. 5a, b), for model A, the MS results produce more false features around x = 0.5, while MGS had large model recovery because of its false features occurred around x = − 0.5 to x = 1.2.
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First is the problem of false feature matches.
In this process, false feature matches may be accepted as reliable.
In Figure 6b, a false feature match is clearly visible, and it would introduce estimation errors if not handled properly.
The document said: "Collection equipment on a building is concealed so as not to reveal SIGINT activity... antennas are sometimes hidden in false architectural features or roof maintenance sheds".
This led to a decrease in the signal-to-noise ratio and false seismic features.
In this paper, we propose an ontological rule-based approach to: (a) identify dead and false optional features; (b)identify certain causes of these defects; and (c) explain these causes in natural language helping modelers to correct found defects.
The ad, titled "False Alibi," features Scott Knight, a police chief and longtime advocate for stricter regulations and gun safety.
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