Titlebook: Classification - the Ubiquitous Challenge; Proceedings of the 2 Claus Weihs,Wolfgang Gaul Conference proceedings 2005 Springer-Verlag Berli

灰姑娘

https://doi.org/10.1057/9781137373953nts of bagging and boosting, which make use of the ordinal structure and it is shown how the predictive power might be improved. Comparisons are based not only on misclassification rates but also on general distance measures, which reflect the difference between true and predicted class.

PATRI

hurricane

Researching Subcultures, Myth and Memorylems, and can be applied as a dimensionality reduction technique. In the latter case, the number of necessary discriminative dimensions can be determined exactly. The sought transformation is found as a solution to an optimization problem using iterative majorization.

Congeal

Encapsulate

amenity

帶來(lái)

Malcontent

Classification and Data Mining in Musicologyledge in musicology and hence to filter out information that is relevant from the point of view of music theory. This is illustrated by a number of examples from classical music, including the analysis of scores and of musical performance.

Vulnerary

原始

Expectation of Random Sets and the ‘Mean Values’ of Interval DataRCRs) are defined and the properties of different definitions for expectations of RCSs, applied on RCRs are studied. In addition known mean values of interval data are integrated in this generalized approach.