Decision trees have proved to be valuable tools for the description, classification and
generalization of data. Work on constructing decision trees from data exists in multiple …

The accurate prediction of energy price is critical to the energy market orientation, and it can
provide a reference for policymakers and market participants. In practice, energy prices are …

Learning style plays a vital role in hel** students retain learned concepts for a longer time
and also improves the understanding of the concepts. Learning styles in offline and online …

Machine learning is one of the fastest growing areas of computer science, with far-reaching
applications. The aim of this textbook is to introduce machine learning, and the algorithmic …

A new edition of a graduate-level machine learning textbook that focuses on the analysis
and theory of algorithms. This book is a general introduction to machine learning that can …

Abstract In an earlier paper [9], we introduced a new “boosting” algorithm called AdaBoost
which, theoretically, can be used to significantly reduce the error of any learning algorithm …

Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …

This paper revisits the problem of optimal learning and decision-making when different
misclassification errors incur different penalties. We characterize precisely but intuitively …

We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm,
particularly in a setting in which hypotheses may assign confidences to each of their …

We present a unifying framework for studying the solution of multiclass categorization
problems by reducing them to multiple binary problems that are then solved using a margin …