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Mixtures of Experts Estimate a Posteriori Probabilities Mixtures of Experts Estimate a Posteriori Probabilities
| Content Provider | Semantic Scholar |
|---|---|
| Author | Moerland, P. D. |
| Copyright Year | 1997 |
| Abstract | The mixtures of experts ME model o ers a modular structure suitable for a divide and conquer approach to pattern recognition It has a probabilistic interpretation in terms of a mixture model which forms the basis for the error function associated with MEs In this paper it is shown that for classi cation problems the minimization of this ME error function leads to ME outputs estimating the a posteriori probabilities of class membership of the input vector |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.idiap.ch/ftp/reports/1997/rr97-07.pdf |
| Alternate Webpage(s) | http://publications.idiap.ch/downloads/reports/1997/rr97-07.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |