Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Abstract. Enterprises are finding limitations with current modelling and hierarchical methodologies which have human agents as a key component. By requiring a priori knowledge of b...
—WiFi localization and tracking of indoor moving objects is an important problem in many contexts of ubiquitous buildings, first responder environments, and others. Previous app...
As the Internet, intranets and other wide-area open networks grow, novel techniques for building distributed systems, notably mobile agents, are attracting increasing attention. T...
Nobukazu Yoshioka, Shinichi Honiden, Anthony Finke...
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...