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Found 949 dataset(s) matching "Uncertainty Estimation".
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ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
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Uncertainty Representation and Management (URM) are an integral part of the prognostic system development.1As capabilities of prediction algorithms evolve, research in developing newer and more...
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A series of Jupyter notebooks documenting a self-guided, interactive curriculum for the PEST++ family of software codes for uncertainty analysis, parameter estimation, and management optimization.
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Included here are figures and relevant data for the work "Estimating Uncertainty in Robot Kinematics and Pose Measurements with Expectation-Maximization". We present a method to validate the...
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data published in paper "On-Wafer Device Characterization Including Uncertainty Estimates to 1.0 THz"This dataset contains the calibrated scattering parameters (S-parameters) of a thru that was...
- commented lines start with a % sign. data lines are space delimited.
- there are two sections. 1st section is the measured data and 2nd section is the simulated data. commented lines start with a % sign. data lines are space delimited.
- there are two sections. 1st section is the measured data and 2nd section is the simulated data. commented lines start with a % sign. data lines are space delimited.
- there are two sections. 1st section is the measured data and 2nd section is the simulated data. commented lines start with a % sign. data lines are space delimited.
- there are two sections. 1st section is the measured data and 2nd section is the simulated data. commented lines start with a % sign. data lines are space delimited.
- there are two sections. 1st section is the measured data and 2nd section is the simulated data. commented lines start with a % sign. data lines are space delimited.
- +4 more
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N/A. This dataset is associated with the following publication: Groff, L., J. Grossman, A. Kruve, J. Minucci, C. Lowe, J. McCord, D. Kapraun, K. Phillips, S. Purucker, A. Chao, C. Ring, A....
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The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space...
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This file contains a list of geodetic bench marks, identified by a Permanent Identifier (PID), each of which have a precise orthometric height determined by geodetic leveling, a precise ellipsoid...
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This data release contains the models and their inputs and outputs needed to reproduce the findings for the publication by Soong and Over (2022), "Effect of Uncertainty of Discharge Data on...
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This dataset contains the multi-model means of various climate parameters with uncertainty bounds from the Multivariate Adaptive Constructed Analogs statistically downscaled global climate model...
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• Figure 1. Ratio of cumulative released cells to cells initially present in the manure at Week 0 as they vary by time, manure type and age, microbe, and Event (i.e., season). The 95% confidence...
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An expanding effort exists to estimate discharge of rivers utilizing remote sensing measurements. The goal of this investigation is to evaluate the uncertainty associated with estimating...
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This dataset provides an estimate of soil organic carbon (SOC) in the top one meter of soil across Mexico at a 90-m resolution for the period 1999-2009. Carbon estimates (kg/m2) are based on a...
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This data release includes climatic variables and associated descriptive material created for the purpose of assessing uncertainties associated with climatic estimates based on vegetation...
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This data set archives all inputs, outputs and scripts needed to reproduce the findings of W.H. Farmer and S. Levin in the 2017 Journal of the American Water Resources Association article entitled...
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Data files used in manuscript - "Influence of burned area uncertainties on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S.". This dataset is associated with the following...
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The Everglades Depth Estimation Network (EDEN) produces daily depth estimates for the Greater Everglades. This data release includes geospatial data to produce depth estimates for the EDEN from...
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The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space...
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Prior to the launch of STS-119 NASA had completed a study of an issue in the flow control valve (FCV) in the Main Propulsion System of the Space Shuttle using an adaptive learning method known as...
