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This way of optimization is an alternative to heuristic methods which avoids the likelihood of hitting local minima.
This study of lumbar segmental rotation and translation kinematics provides normative data based on a conventional Gaussian statistical methods, which avoids arbitrary cut-off values.
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However, this does not restrict the maximal edit distance of matches in contrast to trie-based methods which avoid exponential blow-up with such restrictions.
Intervention included reduction of restraint policy and tri-monthly meetings to evaluate use of restraints and alternative methods which avoid physical restraints.
Recently, there has been interest in methods which avoid the use of biochemical labels; numerous intrinsic biomarkers have been explored to identify cells including size, electrical polarizability, and hydrodynamic properties.
While there are much less demanding methods which avoid the genotype imputation step by directly imputing SNP statistics, e.g. Directly Imputing summary STatistics (DIST) proposed by our group, their implicit assumptions make them applicable only to ethnically homogeneous cohorts.
An alternative method, which avoids these problems, has been developed.
Next we will propose a simple active learning method which avoids the problem.
Crack propagation phenomenon is efficiently modeled using the boundary element method, which avoids re-meshing.
In [17], Yang developed a Minimum-Spanning-Tree-based cost aggregation method, which avoids the local optimality caused by manually specifying the size of the support window.
Furthermore, we propose a consistent variance estimation method, which avoids the replicated procedure considered by Haber (1967) which reduces the efficiency of this integration technique.
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