Classifying under computational resource constraints: anytime classification using probabilistic estimators
Machine Learning, pp. 35-53, 2007.
In many online applications of machine learning, the computational resources available for classification will vary from time to time. Most techniques are designed to operate within the constraints of the minimum expected resources and fail to utilize further resources when they are available. We propose a novel anytime classification alg...More
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