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We then built QSPR models using multilinear regression.
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The aforementioned rigid body models use multilinear elastic beams and cables as a simplified spinal geometry and are at times constructed based on accurate 3D reconstructions from patient geometry [ 17].
Moreover, MWF can also be understood as an extension of the classical matrix-based Wiener filter to the tensor model by using multilinear algebra tools.
The effects of epistasis on the evolution of evolvability under simple directional selection have recently been studied using multilinear epistatic models (Carter et al. 2005; Hansen et al. 2006).
It is often of interest to study the correlations between descriptors and properties using multilinear regression and to design, parameterize, and test different QSPR (Quantitative Structure Property Relationship) models.
The work comprises both theoretical simulations and their experimental validation using multilinear gradients as optimization variable.
Their performance is compared with a metamodelling method using multilinear regression approximation.
This improvement is obtained by using multilinear error-correcting codes over finite fields, rather than the arbitrary error-correcting codes used by Trevisan.
The primary imaging outcome measure was [11C]PBR28 total distribution volume (V T) [12], calculated using multilinear analysis method (MA1) [13] with t* = 15 min.
To have a coordinate-free definition of this action, we use multilinear algebra.
The model uses symmetric parameters.
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models using experimental
models using continuous
models using individual
models using random
models using generalized
models using binary
models using statistical
models using logistic
models using single
models using fuzzy
models using differential
models using human
models using administrative
models using partial
models using multilevel
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