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Defining stochastic inference to improve pattern recognition - by George Emil Sakr.
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| dc.contributor.author | Sakr, George Emil. |
| dc.date.accessioned | 2012-06-13T07:35:41Z |
| dc.date.available | 2012-06-13T07:35:41Z |
| dc.date.issued | 2011 |
| dc.identifier.uri | http://hdl.handle.net/10938/8719 |
| dc.description | Dissertation (Ph.D.)--American University of Beirut, Department of Electrical and Computer Engineering, 2011.;"Chairman : Dr. Mohamad Adnan Al-Alaoui, Professor, Electrical and Computer Engineering--Advisor : Dr. Imad H. Elhajj, Associate Professor, Elect |
| dc.description | Includes bibliographical references (leaves 126-136) |
| dc.description.abstract | Stochastic inference is defined by A. P. Dawid as an accuracy measure over the decision of a learning algorithm. The typical accuracy measures used for pattern recognition are confidence and credibility. These measures are challenging to define, compute a |
| dc.format.extent | xii, 136 leaves : ill. (some col.) 30 cm. |
| dc.language.iso | eng |
| dc.relation.ispartof | Theses, Dissertations, and Projects |
| dc.subject.classification | ED:000026 AUBNO |
| dc.subject.lcsh | Artificial intelligence. |
| dc.subject.lcsh | Pattern recognition systems. |
| dc.subject.lcsh | Neural networks (Computer science). |
| dc.title | Defining stochastic inference to improve pattern recognition - by George Emil Sakr. |
| dc.type | Dissertation |
| dc.contributor.department | American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering. |
