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Consistent Factor Score Regression: A Better Alternative for Uncorrected Factor Score Regression? [PDF]

Educ Psychol Meas
Bogaert J, Loh WW, Rosseel Y.
europepmc   +1 more source

Self-secure feedback control based scheme for ultra-reliable and low-latency communication. [PDF]

PLoS One
Yang Z, Wang X, Lu S, Wang J, Yuan H.
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Adaptive Trajectory-Constrained Heading Estimation for Tractor GNSS/SINS Integrated Navigation. [PDF]

Sensors (Basel)
Hu S, Chen S, Wang L, Meng Z, Fu W, Ren Y, Li C, Wang H.   +7 more
europepmc   +1 more source

State estimation of multi-sensor systems based on error-state Kalman. [PDF]

PLoS One
Liu Y, Liu P, Shi Y.
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Enhancing Anchor Location Estimation Algorithm via Multi-Source Observations and Adaptive Optimization for UVIO. [PDF]

Sensors (Basel)
Zhang B, Yang G, Wang J, Lu G.
europepmc   +1 more source

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Estimation of Classification Error

IEEE Transactions on Computers, 1970
This paper discusses methods of estimating the probability of error for the Bayes' classifier which must be designed and tested with a finite number of classified samples. The expected difference between estimates is discussed. A simplifled algorithm to compute the leaving-one-out method is proposed for multivariate normal distributions wtih unequal co-
Fukunaga, Keinosuke, Kessell, David L.
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Microstructural Decomposition Error Estimates

ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1999
AbstractComputational simulations of interacting microstructure in solid structures, with methods such as the finite element method, require solutions to numerically enormous boundary value problems. The primary objective of this work is to introduce a‐posteriori error bounds for a domain decomposition which can be used to reduce the computational ...
Zohdi, T., Wriggers, P.
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A-posteriori estimation of the error in the error estimate

Computer Methods in Applied Mechanics and Engineering, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Strouboulis, T., Babuška, I., Gangaraj, S. K., Copps, K., Datta, D. K.   +4 more
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Bootstrap Techniques for Error Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
The design of a pattern recognition system requires careful attention to error estimation. The error rate is the most important descriptor of a classifier's performance. The commonly used estimates of error rate are based on the holdout method, the resubstitution method, and the leave-one-out method.
Jain, Anil K., Dubes, Richard C., Chen, Chaur-Chin   +2 more
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