Progressive and Iterative Approaches for Time Series Averaging

After an appropriate initialization of missing values, the proposed method performs (i) a cross-validation error minimization to find an estimate of the optimal number of EOF modes

Our work mainly focusses on the study and the development of progressive methods in the field of multiple criteria decision analysis (MCDA), i.e., iterative procedures

Comparison of the voting model for the wage index with the chosen models are shown in the Table 4 (the best fitted model hasn’t been shown because that’s ARIMA (0, 1, 1) and it

When dealing with high spatial resolution images, object-based approaches are generally used in order to exploit the spatial relationships of the data8. However, these

1.3.3 MAVT and outranking methods in a constructive approach 15 2 Progressive interactive Multiple Criteria Decision Analysis 17 2.1

For two-phase composites, where the contrast between the phases can be measured with a single parameter z, it is shown that information on the singularities of the effective moduli

We propose probabilistic numerical methods based on dynamic programming and opti- mal quantization methods combined with a suitable time discretization procedure for com- puting

With the arrival of SITS with high spatial resolution (HSR), it becomes necessary to use the spatial information held in these series, in order to either study the evolution of