Computing with confidence

نویسندگان

چکیده

In this paper, the dependence spaces are discussed for textural formal concepts considering method given by Ma et al. A complete congruence on a lattice is an equivalence relation if it satisfies infinite substitution property. More generally, join-dependence and meet-dependence space with respect to domain of discourse presented. Using duality in textures, closure interior operators defined obtain intensions co-intensions concept lattices, respectively. The main theorem dual lattices Chen Yao stated. Further, shown that can be obtained using operator. Finally, independency notion Novotný t-formal discussed.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Computing Confidence Intervals for Common IR Measures

Confidence intervals quantify the uncertainty in an average and offer a robust alternative to hypothesis testing. We measure the performance of standard and bootstrapped confidence intervals on a number of common IR measures using several TREC and NTCIR collections. The performance of an interval is its empirical coverage of the estimated statistic. We find that both standard and bootstrapped i...

متن کامل

Computing Confidence Values: Does Trust Dynamics Matter?

Computational Trust and Reputation (CTR) systems are platforms capable of collecting trust information about candidate partners and of computing confidence scores for each one of these partners. These systems start to be viewed as vital elements in environments of electronic institutions, as they support fundamental decision making processes, such as the selection of business partners and the a...

متن کامل

Computing confidence intervals for standardized regression coefficients.

With fixed predictors, the standard method (Cohen, Cohen, West, & Aiken, 2003, p. 86; Harris, 2001, p. 80; Hays, 1994, p. 709) for computing confidence intervals (CIs) for standardized regression coefficients fails to account for the sampling variability of the criterion standard deviation. With random predictors, this method also fails to account for the sampling variability of the predictor s...

متن کامل

Computing confidence intervals for log-concave densities

Log-concave density estimation is considered as an alternative for kernel density estimations which does not depend on tuning parameters. Pointwise asymptotic theory has been already developed for the nonparametric maximum likelihood estimator of a log-concave density. Here, the practical aspects of this theory are studied. In order to obtain a confidence interval, estimators of the constants a...

متن کامل

Computing Confidence Measures in Stochastic Logic Programs

Stochastic logic programs (SLPs) provide an efficient representation for complex tasks such as modelling metabolic pathways. In recent years, methods have been developed to perform parameter and structure learning in SLPs. These techniques have been applied for estimating rates of enzyme-catalyzed reactions with success. However there does not exist any method that can provide statistical infer...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Approximate Reasoning

سال: 2021

ISSN: ['1873-4731', '0888-613X']

DOI: https://doi.org/10.1016/j.ijar.2021.07.001