Today's age is the age of data, where a huge amount of data is being generated world-wide.
This huge volume of data, called 'big data', has no meaning until the proper information is …

With the massive explosion of machine learning in our day-to-day life, incremental and
adaptive learning has become a major topic, crucial to keep up-to-date and improve …

The robustness of some classical univariate classifiers is hampered if the data are
contaminated. Overfitting is another hiccup when the data sets are uncontaminated with a …

The location model is a familiar basis and excellent tool for discriminant analysis of mixtures
of categorical and continuous variables compared to other existing discrimination methods …

This paper aims to address the challenges posed by the simultaneous occurrence of
numerous empty and many non-empty cells in the Location Model (LM). The LM is a …

Abstract In the United States, nearly 40% of adults have obesity. The high prevalence has
contributed a significant financial burden to the United States' healthcare system, incurring …

This research's primary goal was to evaluate the performance analysis of the recently
constructed smoothed location models (SLMs) for discrimination purposes by combining two …

The natural outstanding of location model is as an excellent tool for mixed variables
classification among other existing approaches such as Kernel-based non-parametric …