Support vector machine (SVM) is a fundamental machine learning algorithm, while the
traditional SVMs have limitations for massive and ubiquitous class-imbalanced data in …

Abstract Support Vector Machine (SVM) primarily uses the hinge loss function with maximum
margin. The boundary instances determine the separating hyperplanes. However, in real …

Colorectal cancer has become one of the most common cause of cancer mortality
worldwide, with a five-year survival rate of over 50%. Additionally, the potential of some …

The class imbalance issue is a pretty common and enduring topic all the time. When
encountering unbalanced data distribution, conventional methods are prone to classify …

A two‐parameter continuous distribution, namely, power‐modified Lindley (PML), is
proposed. Various structural properties of the new distribution, including moments, moment …

Inverted exponentiated Rayleigh distribution is a widely used and important continuous
lifetime distribution, which plays a key role in lifetime research. The joint progressively type-II …

Statistical models are useful in explaining and forecasting real-world occurrences. Various
extended distributions have been widely employed for modeling data in a variety of fields …

This paper deals with the problem of estimating scale parameter of the selected uniform
population when sample sizes are unequal. The loss has been measured by the …

The problem of estimation after selection can be seen in numerous statistical applications.
Let X i 1,…, X in be a random sample drawn from the population Π i, i= 1,…, k, where Π i …

SYNOPTIC ABSTRACT The problem of estimation after selection arises in the situations
where we wish to select a population among k available populations and estimate the …