The field of Psychometrics routinely grapples with the question of what it means to measure the inherent ability of an organism to perform a given task, and for the last forty yea...
Rense Lange, Juan Moran, Warren R. Greiff, Lisa Fe...
Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
Although, most of phenomena change over time, there has been an attempt to model the phenomena of real world assuming a static nature for them. Even when changes occurred in the p...
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...