Content-based spam filtering is a binary text categorization problem. To improve the performance of the spam filtering, feature selection, as an important and indispensable means of text categorization, also plays an important role in spam filtering. We proposed a new method, named Bi-Test, which utilizes binomial hypothesis testing to estimate whether the probability of a feature belonging to ...

this article examines statistical inference for  where and are independent but not identically distributed pareto of the first kind (pareto (i)) random variables with same scale parameter but different shape parameters. the maximum likelihood, uniformly minimum variance unbiased and bayes estimators with gamma prior are used for this purpose. simulation studies which compare the estimators are ...

We introduce a new shrinkage variable selection operator for linear models which we term the adaptive ridge selector (ARiS). This approach is inspired by the relevance vector machine (RVM), which uses a Bayesian hierarchical linear setup to do variable selection and model estimation. Extending the RVM algorithm, we include a proper prior distribution for the precisions of the regression coeffic...