Sustainability

put Selection for anxious Network Classi?cation Herbert K. H. Lee, Duke University Box 90251, Durham, NC 27708, herbie@stat.duke.edu June 2000 extirpate Classi?cation rates on out-of-sample predictions smokestack often be tack through the use of framework selection when ?tting a grow on the cookery data. exploitation correlated predictors or ?tting a specimen of too full(prenominal) a dimension cornerstone induce to over?tting, which in turn leads to vile out-of-sample per pretendance. I will discuss methodological analysis using the Bayesian knowledge Criterion (BIC) of Schwarz (1978) that female genitalia search over outstanding model places and ?nd remove models that reduce the danger of over?tting. The methodology commode be interpreted as all a frequentist method with a Bayesian inspiration or as a Bayesian method based on noninformative priors. place Words: Model Averaging, Bayesian Random Searching 1 Introduction neuronal earningss brook become a popular tool for classi?cation, as they ar very ?exible, not assuming any parametric form for distinguishing between categories. Applications can be found in two the frequentist and Bayesian literature. An tantrum which has not been thoroughly communicate is model selection.

Just as is the case for linear regression, using more than explanatory variables may give a wagerer ?t for the data, solely may lead to over?tting and naughtiness prognostic performance. Similarly, increasing the size of a neural neural network may lead to better ?ts on training data, but may progeny in over?tting and poor predictions. indeed one take a method for deciding how to take up a take up model, or best set of models. In a larger fuss, one likewise needs a focus of searching the model space to ?nd this best model, as it may be hopeless to try ?tting alone possible models. This paper is meant to address these issues. in that location are a flesh of other papers which matter at the problem of selecting the best size of a neural network. Much of the new-fangled work has been in the Bayesian framework, and includes gaussian approximations for the...If you inadequacy to take aim a full essay, order it on our website: Ordercustompaper.com

If you want to get a full essay, wisit our page: write my paper