The identiication of vector-valued FIR transfert functions using exclusively second-order statistics has become conventional. The so-called Subspace Method provides a nice and eecient way of solving the problem. However, the extension to the Multi-Input/Multi-Output (MIMO) case is not that straightforward and, for instance, some severe indetermination drawbacks may occur. We show in this paper ...

Given a pattern p of size m and text t, the problem order-preserving matching (OPPM) is to find all substrings t that satisfy one orderings defined by p. This has applications on time series analysis. However given its strict nature this model unable deal with indetermination, thus limiting application noisy series. In paper we introduce indeterminate characters alleviate limitation. We then pr...

The paper contains description of a new clustering methodology that partitions data set into clusters, such that regression indetermination coefficient for data from each cluster is minimized. A clustering algorithm that realizes this methodology with genetic programming approaches, as well as, some experimental results are presented. The application of the algorithm for planning cellular telep...