Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
The performance of off-line text-independent writer verification and identification increases when the documents contain more text. This relation was examined by repeatedly conduc...
Abstract. Global optimization seeks a minimum or maximum of a multimodal function over a discrete or continuous domain. In this paper, we propose a hybrid heuristic – based on th...
Ernesto G. Birgin, Erico M. Gozzi, Mauricio G. C. ...
Exclusion algorithms are a well-known tool in the area of interval analysis for finding all solutions of a system of nonlinear equations or for finding the global minimum of a fun...
In this paper, we develop e cient admission control tests for member join leave and its associated state refresh and update procedures for receiver-initiated core-based multicast ...