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A new procedure for combined validation of learning models - developed for specifically uncertain data - is briefly described; it relies on a combination of resubstitution with the modified learn-and-test paradigm, called by us the queue validation. In the initial experiment the elaborated procedure was checked on doubtful (presumably distorted by creative accounting) data, related to small and medium...
We are offering a method to improve classification performance of the k nearest neighbors algorithm when the neighborhood is large. Our method limits the number of considered neighbors from the training set by selecting only those samples which would be neighbors in the computed Voronoi diagram of the training set plus classified sample.
This paper compares the application of three different dimension reduction techniques to the problem of classifying functions in object code form as being cryptographic in nature or not. A simple classifier is used to compare dimensionality reduction via sorted covariance, principal component analysis, and correlation-based feature subset selection. The analysis concentrates on the classification...
Social tagging is an innovative and powerful mechanism introduced with Web 2.0: it shifts the task of classifying resources from a reduced set of knowledge engineers to the wide set of Web users. Users of social tagging systems define personal classifications which can be used by other peers for browsing available resources. However, due to the absence of rules for managing the tagging process, and...
Outdoor sport practitioners can improve greatly their results if they train at the right intensity. Nevertheless, in common training systems the athlete's performance is used for evaluation at the end of the exercises, and the sensed data is incomplete because only human biometrics are analyzed. These systems do not consider environmental conditions, which may have direct influence on athlete's performance...
This paper classified the body motion which is not distinguished when an electric wheelchair is operated by Human Body Motion Interface (HBMI). HBMI uses the body motion which is caused by the voluntary motion. This research focuses on the operation of an electric wheelchair as a practical application of HBMI. It has been confirmed that HBMI, which uses the center of weight on the pressure sensor...
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