to prospect mineral deposits at regional scale, recognition and classification of hydrothermal alteration zones using remote sensing data is a popular strategy. due to the large number of spectral bands, classification of the hyperspectral data may be negatively affected by the hughes phenomenon. a practical way to handle the hughes problem is preparing a lot of training samples until the size ...

We investigate the optimality for model selection of the so-called slope heuristics, V -fold cross-validation and V -fold penalization in a heteroscedatic with random design regression context. We consider a new class of linear models that we call strongly localized bases and that generalize histograms, piecewise polynomials and compactly supported wavelets. We derive sharp oracle inequalities ...

5 × 2 cross-validated F-test based on independent five replications of 2-fold cross-validation is recommended in choosing between two classification learning algorithms. However, the reusing of the same data in a 5 × 2 cross-validation causes the real degree of freedom (DOF) of the test to be lower than the F(10, 5) distribution given by (Neural Comput 11:1885–1892, [1]). This easily leads the ...

The core of the wavelet approach to nonparametric regression is thresholding of wavelet coefficients. This paper reviews a cross-validation method for the selection of the thresholding value in wavelet shrinkage of Oh, Kim, and Lee (2006), and introduces the R package CVThresh implementing details of the calculations for the procedures. This procedure is implemented by coupling a conventional c...

User models for email filtering should be developed from appropriate training and test sets. A k-fold cross-validation is commonly presented in the literature as a method of mixing old and new messages to produce these data sets. We show that this results in overly optimistic estimates of the email filter’s accuracy in classifying future messages because the test set has a higher probability of...

Considering the importance of validation of customers in the cross-dock and since this is one of the problems of implementing cross-dock system in Iran, this study attempted to extract customer validation criteria. The purpose of the research is to eliminate the distrust of distributors in receiving the funds of the sent items and the statistical sample of this research is the experts of the sy...

Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing conclusions, it is important to estimate the uncertainty of such estimates. This paper studies the estimation of uncertainty around the K-fold cross-validation estimator. The main theorem shows that there exists no univ...