This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
Developing Eclipse plug-ins often involves the creation of data structures and corresponding data processing code. In developing eAssignment, an Eclipse-bases application to suppo...
Marcel Bruch, Christoph Bockisch, Thorsten Sch&aum...
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
A new jitter model is developed using Matlab and Spice to analyze Data Dependent Jitter (DDJ) in serial data integrated circuits. The simulation results show that DDJ is dependent...