Results 1 to 10 of about 6,359,946 (309)
Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data. [PDF]
Large-scale untargeted lipidomics experiments involve the measurement of hundreds to thousands of samples. Such data sets are usually acquired on one instrument over days or weeks of analysis time.
Fan S +9 more
europepmc +2 more sources
Systematic Error Modeling and Bias Estimation [PDF]
This paper analyzes the statistic properties of the systematic error in terms of range and bearing during the transformation process. Furthermore, we rely on a weighted nonlinear least square method to calculate the biases based on the proposed models ...
Feihu Zhang, Alois Knoll
doaj +2 more sources
Systematic error in seed plant phylogenomics. [PDF]
Resolving the closest relatives of Gnetales has been an enigmatic problem in seed plant phylogeny. The problem is known to be difficult because of the extent of divergence between this diverse group of gymnosperms and their closest phylogenetic relatives. Here, we investigate the evolutionary properties of conifer chloroplast DNA sequences.
Zhong B +7 more
europepmc +6 more sources
SEAL : Interactive Tool for Systematic Error Analysis and Labeling [PDF]
With the advent of Transformers, large language models (LLMs) have saturated well-known NLP benchmarks and leaderboards with high aggregate performance.
Nazneen Rajani +4 more
semanticscholar +1 more source
Characterization of systematic error in Advanced LIGO calibration [PDF]
The raw outputs of the detectors within the Advanced Laser Interferometer Gravitational-Wave Observatory need to be calibrated in order to produce the estimate of the dimensionless strain used for astrophysical analyses.
Ling Sun +25 more
semanticscholar +1 more source
A 3D Compensation Method for the Systematic Errors of Kinect V2
To reduce the 3D systematic error of the RGB-D camera and improve the measurement accuracy, this paper is the first to propose a new 3D compensation method for the systematic error of a Kinect V2 in a 3D calibration field. The processing of the method is
Chang Li, Bingrui Li, Sisi Zhao
doaj +1 more source
Improving the Accuracy of TanDEM-X Digital Elevation Model Using Least Squares Collocation Method
The TanDEM-X Digital Elevation Model (DEM) is limited by the radar side-view imaging mode, which still has gaps and anomalies that directly affect the application potential of the data. Many methods have been used to improve the accuracy of TanDEM-X DEM,
Xingdong Shen, Cui Zhou, Jianjun Zhu
doaj +1 more source
MICROSCOPE: systematic errors [PDF]
Abstract The MICROSCOPE mission aims to test the weak equivalence principle (WEP) in orbit with an unprecedented precision of 10−15 on the Eötvös parameter thanks to electrostatic accelerometers on board a drag-free micro-satellite. The precision of the test is determined by statistical errors, due to the environment and instrument ...
Rodrigues, Manuel +21 more
openaire +3 more sources
Decomposition of the mean absolute error (MAE) into systematic and unsystematic components
When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
S. Robeson, C. Willmott
semanticscholar +1 more source

