| Simon S. Haykin - Computers - 1999 - 842 pages
Introduction; Learning processes; Single layer perceptrons; Multilayer perceptrons; Radial-basis function networks; Support vector machines; Comittee machines; Principal ... | |
| Shahar Mendelson, Alexander J. Smola - Computers - 2003 - 266 pages
Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a ... | |
| Sara A. Geer - Mathematics - 2000 - 286 pages
Advanced text; estimation methods in statistics, e.g. least squares; lots of examples; minimal abstraction. | |
| Mirek Karny, Kevin Warwick, Vera Kurkova - Computers - 2012 - 308 pages
In almost all areas of science and engineering, the use of computers and microcomputers has, in recent years, transformed entire subject areas. What was not even considered ... | |
| Michel Kern - Mathematics - 2016 - 215 pages
This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or when one seeks to ... | |
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