This chapter summarizes the fundamental aspects of supervised methods. The chapter provides an overview of concepts from various interrelated fields used in subsequent chapters. It presents basic definitions and arguments from the supervised machine learning literature and considers various issues, such as performance evaluation techniques and challenges for data mining tasks.

Ensemble learning techniques and in particular Random Forests have been one of the most successful machine learning approaches of the last decade. Despite their success, there exist barely suitable visualizations of Random Forests, which allow a fast and accurate understanding of how well they perform a certain task and what leads to this performance. This paper proposes an exemplar-driven visu...

A method for transforming performance evaluation signals distal both in space and time into proximal signals usable by supervised learning algorithms, presented in [Jordan & Jacobs 90], is examined. A simple observation concerning differentiation through models trained with redundant inputs (as one of their networks is) explains a weakness in the original architecture and suggests a modificatio...

We discuss try to identify ”gestures” in music performances by observing patterns in both compositional and expressive properties, and by modelling them with a statistical approach. Assuming a finite number of latent states on each property value, we can describe those gestures with statistical latent state models, and train them by unsupervised learning algorithms. Results for several recorded...

BACKGROUND AND AIM: Individual’s learning style determines the mechanism of processing, internalization, and retention of new information. The higher education centers and professors need information and conformity to various learning styles to help students learn effectively. In addition, researchers believe that learning styles are one of the factors responsi...

the current paper aims to investigate the effect of entrepreneurial marketing on innovation considering the moderating effect of two-factor learning orientation and organizational structure. then, the relationship between innovation and the marketing performance was assessed. in this research, sales and marketing managers of 42 sample companies were selected from three industries including: ind...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...