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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Forgotten Books, London, Vereinigtes Königreich
Paperback. Zustand: New. Print on Demand. This book is a detailed summary of the methods, uses, and applications of various knowledge aggregation techniques. The author begins with an overview of the basic concepts, including the use of support vectors and state space. This book then dissects and delineates four methods - Relaxation Labeling, Stochastic Relaxation, Stochastic Assessment of Knowledge, and the Theory of Evidence - each with unique applications and advantages. These methods are compared and contrasted in terms of their state space, evidence types, and efficiency. The author maintains a consistent framework for comparison, using terms, notations, and examples that highlight the similarities and differences between the methods. The intent is to equip readers to understand and select the appropriate method for their specific application and to facilitate the development of new and more effective methods for knowledge aggregation. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Bestandsnummer des Verkäufers 9781333330989_0
Anzahl: Mehr als 20 verfügbar
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781333330989
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers LW-9781333330989
Anzahl: 15 verfügbar