In the context of previous work on redundant modeling, permutation problems and matrix modeling, we introduce the notion of partial redundant modeling and categorical channeling co...
We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...
Hospitals today are investing time and money to expand and improve their Emergency Departments (ED). Using simulation to test their many improvement ideas can necessitate running ...
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
In any real-life identification problem, only a finite number of data points is available. On the other hand, almost all results in stochastic identification pertain to asymptotic...