Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems Contributor(s): Naidenova, Xenia (Editor), Ignatov, Dmitry I. (Editor) |
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ISBN: 1466619007 ISBN-13: 9781466619005 Publisher: Information Science Reference
Binding Type: Hardcover - See All Available Formats & Editions Published: July 2012 |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Databases - Data Mining - Computers | Machine Theory |
Dewey: 006.312 |
LCCN: 2012004765 |
Physical Information: 0.75" H x 8.5" W x 11" L (2.31 lbs) 330 pages |
Features: Bibliography, Index |
Descriptions, Reviews, Etc. |
Publisher Description: The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations. |
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