The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...
The model driven development is an interested area among software engineers as well as the agile development. In fact, combining model driven and agile practices is an interesting ...