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If I'm understanding the article, then an aspect of variance is how much a sensor deviates from the wisdom of the crowds. So the 6.8 is harmless if it happens t
by sowbug 3y ago
If I'm understanding the article, then an aspect of variance is how much a sensor deviates from the wisdom of the crowds. So the 6.8 is harmless if it happens to be close to the right answer, and downweighted if not.
Which, if correct, means that Kalman filters are useful to detect malicious input to crowdsourced data like surveys, reviews, etc.
- rcxdude 3y agoThe kalman filter depends on having an accurate estimate of the variance to work, if you incorrectly weight an input as being far more trustworthy than it actually is then it won't work very well.