Hristos Tyralis1, Georgia Papacharalampous2, Nilay Dogulu3

  • 1Department of Topography, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Iroon Polytechniou 5, Zografou 157 80, Greece; Construction Agency, Hellenic Air Force, Mesogion Avenue 227-231, Cholargos 15 561, Greece.

概括

深度胡伯量子位回归网络 (DHQRN) 通过预测一般函数,嵌套量子位和预测量来提供先进的预测. 这种方法提高了深度学习应用中的不确定性量化.

相关概念视频

Quantitative Analysis01:12

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
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Quartile01:15

Quartile

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1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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On...
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Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

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