In this study, the concept of relative membership degree is proposed to investigate grey optimal cluster evaluation. Besides, the correlation coefficient between sample observation value and standard eigenvalue is used to reflect the similarity degree of evaluation objective and each cluster centre. Based on those mentioned above and concept of relative membership degree, an optimized grey clus...

• In the most difficult case where the number of observations n ≡ 3 (mod 4), high Defficiency of certain chemical balance weighing designs under completely symmetric covariance matrix of errors is shown. It is also proved that D-optimal design may depend on the values of the correlation coefficient.

The conventional starch determination (employing precipitation, filtration, re-dissolution, colour development) is compared with a simplified direct colorimetric procedure, which is readily automated. The reproducibility is better than 3%, with a correlation coefficient of 0,87 between the two methods.

This paper describes the specifications and results of UMCC_DLSI system, which participated in the Semantic Textual Similarity task (STS) of SemEval-2013. Our supervised system uses different types of lexical and semantic features to train a Bagging classifier used to decide the correct option. Related to the different features we can highlight the resource ISR-WN used to extract semantic relat...

We calculated the correlation between the state-level quality measures and prices to address the question “is higher quality associated with higher prices?” The correlation coefficients are presented in Table 1. A positive correlation implies higher quality measures occur where prices are higher. A negative correlation implies the quality measures are relatively lower where prices are higher an...

In this paper, we proposed a novel method for evaluating intonation of an English utterance spoken by a learner for intonation learning by a CALL system. The proposed method is based on an intonation evaluation method proposed by Suzuki et al., which uses “word importance factors,” which are calculated based on word clusters given by a decision tree. We extended Suzuki s method so that multiple...

Let X = {Xn}n≥1 and Y = {Yn}n≥1 be two independent random sequences. We obtain rates of convergence to the normal law of randomly weighted self-normalized sums ψn(X,Y) = n ∑ i=1 XiYi/Vn, Vn = √ Y 2 1 + · · ·+ Y 2 n . These rates are seen to hold for the convergence of a number of important statistics, such as for instance Student’s t-statistic or the empirical correlation coefficient.

Results The average stress value was 12.5 at the first measurement and 12.4 at the second measurement. The maximum score was 23; the minimum score was 2. There was a correlation of 0.88 (Intraclass Correlation Coefficient) between the values of the two measurements. Cronbach alpha was 0.97. Conclusion The BSSQbrace questionnaire is reliable with good internal consistency and reproducibility. It...

The genetic algorithm (GA) described in this paper breeds permutations of transmitters for minimum span frequency assignment. The approach hybridizes a GA with a greedy algorithm, and employs a technique called Generalized Saturation Degree to seed the initial population. Several permutation operators from the GA literature are compared, and results indicate that position based operators are mo...