Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
This paper describes the architecture and concept of operation of a Framework for Adaptive Process Modeling and Execution (FAME). The research addresses the absence of robust meth...
Perakath C. Benjamin, Madhav Erraguntla, Richard J...
Using a knowledge-based theory of the firm within the larger framework of resource-based theory, this ongoing study examines how firm knowledge structures are disrupted under diff...
Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
Recent years have seen a growing interest in autonomic computing, an approach to providing systems with self managing properties [1]. Autonomic computing aims to address the incre...
Noel De Palma, Konstantin Popov, Nikos Parlavantza...