With the ubiquity of the Internet, platforms such as: Google, Wikipedia and the like can
provide insights pertaining to firms' financial performance as well as capture the collective …

Event handlers have wide range of applications such as medical assistant systems and fire
suppression systems. These systems try to provide accurate responses based on the least …

The modern technologies, which are characterized by cyber-physical systems and internet
of things expose organizations to big data, which in turn can be processed to derive …

This article examines the role and the efficiency of nonconvex loss functions for binary
classification problems. In particular, we investigate how to design adaptive and effective …

Ensemble models refer to methods that combine a typically large number of weak learners
into a stronger composite model. The output of an ensemble method is the result of fitting a …

Ensemble models refer to methods that combine a typically large number of classifiers into a
compound prediction. The output of an ensemble method is the result of fitting a base …

Boosting and other ensemble methods combine a large number of weak classifiers through
weighted voting to produce stronger predictive models. To explain the successful …

Recent advances in technologies for cheaper and faster data acquisition and storage have
led to an explosive growth of data complexity in a variety of scientific areas. As a result …

Empirical evidence shows that ensembles, such as bagging, boosting, random and rotation
forests, generally perform better in terms of their generalization error than individual …

The growth of IT industry technology is absorbed by the cloud service technology, which
leads to secure connectivity and availability of services to cloud users. This paper proposes …