| Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models Contributor(s): Naidenova, Xenia (Author) |
|
 |
ISBN: 1605668109 ISBN-13: 9781605668109 Publisher: Information Science Reference OUR PRICE: $171.00 Product Type: Hardcover - Other Formats Published: October 2009 Annotation: The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Interactive & Multimedia - Computers | Microprocessors |
| Dewey: 006.31 |
| LCCN: 2009021595 |
| Series: Premier Reference Source |
| Physical Information: 1.2" H x 8.6" W x 11.2" (3.30 lbs) 426 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models provides a unique view on classification as a key to human commonsense reasoning and transforms traditional considerations of data and knowledge communications. Containing leading research evolved from international investigations, this book presents an effective classification of logical rules used in the modeling of commonsense reasoning. |