University of Windsor

About: University of Windsor is a education organization based out in Windsor, Ontario, Canada. It is known for research contribution in the topics: Population & Argumentation theory. The organization has 10654 authors who have published 22307 publications receiving 435906 citations. The organization is also known as: UWindsor & Assumption University of Windsor.

Multilayered Echo State Machine: A Novel Architecture and Algorithm

Abstract: In this paper, we present a novel architecture and learning algorithm for a multilayered echo state machine (ML-ESM). Traditional echo state networks (ESNs) refer to a particular type of reservoir computing (RC) architecture. They constitute an effective approach to recurrent neural network (RNN) training, with the (RNN-based) reservoir generated randomly, and only the readout trained using a simple computationally efficient algorithm. ESNs have greatly facilitated the real-time application of RNN, and have been shown to outperform classical approaches in a number of benchmark tasks. In this paper, we introduce a novel criteria for integrating multiple layers of reservoirs within the ML-ESM. The addition of multiple layers of reservoirs are shown to provide a more robust alternative to conventional RC networks. We demonstrate the comparative merits of this approach in a number of applications, considering both benchmark datasets and real world applications.

Using open source data in developing competitive and marketing intelligence

Abstract: Purpose – The paper seeks to show how the increasingly popular use of data and information acquired from open sources (OS) impacts competitive and marketing intelligence (C/MI). It describes the current state of the art in analysis efforts of open source intelligence (OSINT) in business/commercial enterprises, examines the planning and execution challenges organizations are experiencing associated with effectively using and fusing OSINT in C/MI decision‐making processes, and provides guidelines associated with the successful use of OSINT.Design/methodology/approach – This is a descriptive, conceptual paper that utilizes and develops arguments based on the search of three unclassified bodies of literature in competitive and marketing intelligence, intelligence processing and marketing analysis.Findings – Open sources are useful in marketing analyses because they can be easily accessible, inexpensive, quickly accessed and voluminous in availability. There are several conceptual and practical challenges the ...