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The Wesleyan educational experience does not scale up -- but we can make available online adaptations of our classes so that those with a desire to learn have access to some of what we have to teach.
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Online Adaptation.
By using the online adaptation, this method is able to cope well with illumination changes.
After the establishment of FALA table, the online adaptation phase can be initiated.
Online adaptation of these weighting parameters helps to detect abrupt, intermittent, and incipient faults accurately.
Fortunately, online adaptation eliminates some limitations of inverse control and its shortcomings for real world applications.
A comparative study of its performance with and without online adaptation of weights is presented.
Predictions based on online adaptation of weights were found to be superior compared to that without adaptation.
By using online adaptation of skin color probabilities, the classifier is easily able to cope with considerable illumination changes.
The silhouette likelihood is performed by using a Bayesian classifier and the online adaptation of skin color probabilities.
The silhouette is determined by using a Bayesian classifier and the online adaptation of skin color probabilities [11, 12].
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