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Excerpt from A Brief Survey of Knowledge Aggregation Methods Figure 2. Illustration of a labeling problem. There are four objects, corresponding to the four image segments. Each object can have one of four possible labels. In this example, the possible labels are House, Grass, Trees, or Sky. The state of the procedure is defined by a probability distribution over the possible labels at each object. In the figure, at the current time we are 55% sure that Object 1 is the Sky. For any iterative knowledge aggregation method, the intent is that the probabilities converge to 1 for the correct labels at each object. Finally, the current state and evidence are combined, resulting in a new state. This new state is again a probability distribution over the set of labels at each object. After a number of iterations of the procedure, the intent is that the process will converge to a state with only one label at each object having a high probability. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

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