Nations at Ease with Radical Knowledge

Competitiveness of nations: A knowledge discovery examination

This paper presents the insights gained from the use of data mining and multivariate statistical techniques to identify important factors associated with a country’s competitiveness and the development of knowledge discovery in databases (KDD) models to predict it. In addition to stepwise regression and weighted non-linear programming techniques, intelligent learning techniques (artificial neur...

A Deep Learning At Scale and At Ease

Recently, deep learning techniques have enjoyed success in various multimedia applications, such as image classification and multi-modal data analysis. Large deep learning models are developed for learning rich representations of complex data. There are two challenges to overcome before deep learning can be widely adopted in multimedia and other applications. One is usability, namely the implem...

Polytypi Programming With Ease

Polytypic Programming With Ease

A functional polytypic program is one that is parameterised by datatype. Since poly-typic functions are deened by induction on types rather than by induction on values they typically operate on a higher level of abstraction than their monotypic counterparts. However, polytypic programming is not necessarily more complicated than conventional programming. We show that a polytypic function is uni...

Mixing Identities with Ease

Anonymous credential systems are a key ingredient for a secure and privacy protecting electronic world. In their full-fledged form, they can realize a broad range of requirements of authentication systems. However, these many features result in a complex system that can be difficult to use. In this paper, we aim to make credential systems easier to employ by providing an architecture and high-l...