Combining upper limits with a Bayesian approach

A Bayesian Approach for Combining Ensembles of GP Classifiers

Recently, ensemble techniques have also attracted the attention of Genetic Programing (GP) researchers. The goal is to further improve GP classification performances. Among the ensemble techniques, also bagging and boosting have been taken into account. These techniques improve classification accuracy by combining the responses of different classifiers by using a majority vote rule. However, it...

Acoustic output upper limits proposition: should upper limits be retained?

From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois, Urbana, Illinois (W.D.O.); Philips Medical Systems– Ultrasound, Bothell, Washington (J.G.A.); Center for Devices and Radiological Health, Food and Drug Administration, Rockville, Maryland (M.E.St., G.R.H.); Sonic Tech, Inc, Fort Washington, Pennsylvania (M.E.Sc.); Department of ...

Pulsar timing and the upper limits on a gravitational wavebackground : a Bayesian

Stringent limits on , the energy density in a gravitational wave background per logarithmic frequency interval in units of the closure density, have recently been suggested by Thorsett and Dewey using observational data of PSR B1855+09. We show that their use of the Neyman-Pearson test of hypotheses cannot, in the general case, provide reliable upper limits on an unknown parameter. The alternat...

Upper Limits on a Possible Gluon Mass

A Bayesian Approach for the Recognition of Control Chart Patterns

In this research, an iterative approach is employed to recognize and classify control chart patterns. To do this, by taking new observations on the quality characteristic under consideration, the Maximum Likelihood Estimator of pattern parameters is first obtained and then the probability of each pattern is determined. Then using Bayes’ rule, probabilities are updated recursively. Finally, when...