The accuracy of such parameterized methods usually depends on the benchmark databases; for this reason, the accuracy of these methods may not be reliable for molecules that are not in the benchmark database.
Moreover, since the color histogram is sensitive to the variation in color distribution, the performances of these methods usually depend severely on the quantization process in color space.
These methods usually depend on the distance between two concepts in the ontology (Li et al. 2003; Resnik 1995; Wu and Palmer 1994), ontological features (Petrakis et al. 2006; Rodríguez and Egenhofer 2003; Sánchez et al. 2012), or information content (Jiang and Conrath 1997; Liu et al. 2012).
Also, these methods usually depend on the properties of the study sample.
The method of choice usually depends on the nature of antibacterial agents to be tested and the kinetic properties of molecules inside.
These methods are a vast improvement over previous methods that usually depended on the infant making motor responses (e.g., reaching for an object, or crawling to a location), which we know are poorly developed early in life for reasons having to do with immature brain maturation, not immature cognitive abilities.
As for any a priori regularization method, the choice of the regularization parameter usually depends on both the a priori bound and the noise level.
The method of judging varies with the discipline, but winning usually depends on style and ability of both horse and rider.
The preferred method is most often specific to a single institution and usually depends on available equipment and personnel competences.
From a practical point of view, the variational method is independent of the magnitude of the coupling constant strength, contrary to perturbation theory which usually depends on expansion of some small parameters.
