A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the m...
Worldwide globalization increases the complexity of problem solving and decision-making, whatever the endeavor is. This calls for a more accurate and complete understanding of unde...
Abstract. We apply three different modeling frameworks -- timed automata (Uppaal), colored Petri nets and synchronous data flow -- to model a challenging industrial case study that...
Georgeta Igna, Venkatesh Kannan, Yang Yang, Twan B...
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...