The nucleonic localization function has been used for a decade to study the formation of alpha-particles in nuclei, by providing measure having nucleons given spin single place. However, differences interpretation remain, compared density nucleus. In order better understand respective role and densities alpha-particle cluster states or alpha-decay mechanism, both an analytic approximation micro...

This paper describes a novel approach to constructing phonotactic models. The underlying theoretical approach to phonological description is the multi-syllable approach in which multiple syllable classes are deened that reeect phonotactically idiosyncratic syllable subcategories. A new nite-state formalism, ofs Modelling, is used as a tool for encoding, automatically constructing and generalisi...

We propose a novel algorithm for extracting samples from a data set supporting the extremal points in the set. Since the density of the data set is not taken into account, the method could enable adaptation to novel (e.g. machine wear) data. Knowledge about the clustering structure of the data can aid in determination of the complexity of the solution. The algorithm is evaluated on its computat...

The classical variogram estimate is convenient but can be unacceptably variable. Improved estimators are possible, especially when the locations of the available data are highly clustered. Using a simple theoretical example, we demonstrate that weighting can dramatically increase the efficiency of classical variogram estimates from clustered data. We give expressions for the weights that lead t...