not linked to the error rate, the primary interest in many applications of classification. By introducing an upper bound … for the error rate a criterion is developed which can improve the classification performance. …

classification with high-dimensional microarray data. In this paper, the classification procedure consisting of PLS dimension …-of-the-art classification methods. Moreover, a boosting algorithm is applied to this classification method. In addition, a simple procedure to … examined and a property of the first PLS component for binary classification is proved. In addition, we show how PLS can be …

classification with high-dimensional microarray data. In this paper, the classification procedure consisting of PLS dimension …-of-the-art classification methods. Moreover, a boosting algorithm is applied to this classification method. In addition, a simple procedure to … examined and a property of the first PLS component for binary classification is proved. In addition, we show how PLS can be …

An important application of gene expression microarray data is classification of biological samples or prediction of … classification procedures incorporating those methods. A five-step assessment procedure is designed for the purpose. Predictive … accuracy and computational efficiency of the methods are examined. Two gene expression data sets for tumor classification are …