Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
An important question for network simulation is what level of detail is required to obtain a desired level of accuracy. While in some networks, the level of detail is an open rese...
Abstract. Visual data
ow environments are ideally suited for modeling digital signal processing (DSP) systems, as many DSP algorithms are most naturally specied by signal
ow gra...
James Hwang, Brent Milne, Nabeel Shirazi, Jeffrey ...