Alternative novel measures of the distance between any two partitions of a n-set are proposed and compared, together with a main existing one, namely partition-distance D(·, ·). The comparison achieves by checking their restriction to modular elements of the partition lattice, as well as in terms of suitable classifiers. Two of the new measures obtain through the size, a function mapping every ...

using size at first maturity (sfm) as a biological reference point, the minimum legal size (mls) for the black clam, villorita cyprinoides was fixed at 20 mm. corresponding minimum legal weight was calculated as 3.4 g. the reproductive load and mean generation time were determined as 0.35 and 0.72, respectively. of the total quantity of clams exploited during 1996-97, 50% were juveniles. the pe...

network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. social network size estimation is the first step in this method. the present study was conducted with the purpose of estimating the social network size of the tehran province residents and its determinants.maximum likelihood estimation was applied to estimate people's network sizes ...

according to its superficial anatomical location, the thyroid gland is easily accessible by sonography. sonography allows an exact documentation of the size and thyroid volume. the relationship between thyroid volume and anthropometric characteristics is a matter of controversy. the aim of this study was to investigate thyroid volume and its determinants in healthy adult. a cross-sectional stud...

carbon spheres were fabricated by hydrothermal method and their structural properties were investigated. carbon spheres with average sizes around of 230, 320 and 430 nm were synthesized in different concentration of glucose aqueous solution and different hydrothermal reaction time. the temperature of 180 °c by a hydrothermal reaction was fixed in all of glucose concentration and hydrothermal re...

pcfg Learning by Partition Search is a general grammatical inference method for constructing, adapting and optimising pcfgs. Given a training corpus of examples from a language, a canonical grammar for the training corpus, and a parsing task, Partition Search pcfg Learning constructs a grammar that maximises performance on the parsing task and minimises grammar size. This paper describes Partit...

Massive uniform nested loops are broadly used in scientiic and DSP applications. Due to the large amount of data handled by such applications, the optimization of data accesses by fully utilizing the local memory and minimizing communication overhead is important in order to improve the overall system performance. Most of the traditional partition strategies do not consider the eeect of data ac...

pcfg Learning by Partition Search is a general grammatical inference method for constructing, adapting and optimising pcfgs. Given a training corpus of examples from a language, a canonical grammar for the training corpus, and a parsing task, Partition Search pcfg Learning constructs a grammar that maximises performance on the parsing task and minimises grammar size. This paper describes Partit...

optimum sample size is an essential component of any research. the main purpose of the sample size calculation is to determine the enough number of units needed to detect the unknown clinical parameters or the treatment effects or the association after data gathering. it is not uncommon for studies to be underpowered and failing to detect the existed treatment effects due to inadequate sample s...