In this paper we propose applying multidimensional decompositions for modeling improvement. Results generated by different models usually include both wanted and destructive components. Many of the components are common to all the models. Our aim is to find the basis variables with the positive and the negative influence on the modeling task. It will be perofrmed with multidimensional transforamtions such as ICA and PCA.
CITATION STYLE
Szupiluk, R., Wojewnik, P., & Zabkowski, T. (2004). Model improvement by the statistical decomposition. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 1199–1204). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_188
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