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Consider the problem of noisy Bayesian active learning given a sample space, a finite label set, and a finite set of label generating functions from the sample space to the label set, also known as the function class. The objective is to identify the function in the function class that generates the labels using as few label queries as possible and with low probability of error despite possible corruption...
Consider the problem of sequentially searching for a single target in an image. Let the image be divided into M ×M equal sized segments where M determines the resolution of the search. The goal is to find the segment that contains the target quickly and accurately. In each step, the player can visually inspect an allowable combination of the segments, and the outcome of the inspection is noisy. In...
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