Samenvatting
The problem of estimating model uncertainty of learning machines (LMs) is becoming a subject of great interest because of the wide application of such kind of methodologies for solving real-world problems. In this work we will provide a general overview on estimating and controlling uncertainity of LMs, by describing the algorithms, the theory and the empirical methods used to obtain a robust estimation. In the end we address the problem of uncertainty estimation when devices with limited resources are considered for the hardware implementation.
Originele taal-2 | English |
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Titel | AMUEM 2006 – IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement, April 20-21, 2006, Trento, Italy |
Pagina's | 46-50 |
Aantal pagina's | 5 |
Status | Published - 20 apr 2006 |
Evenement | Unknown - Duur: 20 apr 2006 → … |
Conference
Conference | Unknown |
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Periode | 20/04/06 → … |