Novelty detection using products of simple experts—a potential architecture for embedded systems
The ‘Product of Experts’ architecture (concentrating on binary-stochastic elements) is described in the context of its suitability for implementation as mixed-mode hardware, with algorithmic modifications that render the training procedure hardware-implementable. Results show that the PoE is capable...
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| Veröffentlicht in: | Neural networks 2001-11, Vol.14 (9), p.1257-1264 |
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| container_title | Neural networks |
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| creator | Murray, Alan F. |
| description | The ‘Product of Experts’ architecture (concentrating on binary-stochastic elements) is described in the context of its suitability for implementation as mixed-mode hardware, with algorithmic modifications that render the training procedure hardware-implementable. Results show that the PoE is capable of modelling non-linear, multi-dimensional data drawn from both artificial and real sources. The capability of the PoE to perform on-line novelty detection is described and demonstrated on both artificial and real data. |
| doi_str_mv | 10.1016/S0893-6080(01)00097-1 |
| format | Article |
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| ispartof | Neural networks, 2001-11, Vol.14 (9), p.1257-1264 |
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| language | eng |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Algorithms Analogue VLSI Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Generative model Neural Networks (Computer) Nonlinear Dynamics Novelty detection Probabilistic model Signal Processing, Computer-Assisted Statistics as Topic - methods Stochastic Processes |
| title | Novelty detection using products of simple experts—a potential architecture for embedded systems |
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