Current visualization systems are typically based on the concept of interactive post-processing. This decoupling of data visualization from the process of data generation offers a...
Traditional Thurstone scaling (1927) constructs a perceptual scale from pairwise comparisons without providing statistical inferences. We show that subjective preferences for movi...
Russell L. Woods, PremNandhini Satgunam, P. Matthe...
Data Envelopment Analysis (DEA) is one of the most widely used methods in the measurement efficiency and productivity of Decision Making Units (DMUs). DEA for a large dataset with...
Recent research identifies a growing privacy problem that exists within Online Social Networks (OSNs). Several studies have shown how easily strangers can extract personal data a...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...