Information estimation apparatus and information estimation method
US12136032B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 14, 2017 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | Mar 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F7/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A technique for stable and fast computation of a variance representing a confidence interval for an estimation result in an estimation apparatus using a neural network including an integrated layer that combines a dropout layer for dropping out part of input data and an FC layer for computing a weight is provided. When input data having a multivariate distribution is supplied to the integrated layer, a data analysis unit 30 determines, based on a numerical distribution of terms formed by respective products of each vector element of the input data and the weight, a data type of each vector element of output data from the integrated layer. An estimated confidence interval computation unit 20 applies an approximate computation method associated with the data type, to analytically compute a variance of each vector element of the output data from the integrated layer based on the input data to the integrated layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.