Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Abstract. With the development of the multicast technology, the realtime strategy among the group applications using the multicast routing is getting more important. An essential f...
Youngjin Ahn, Moonseong Kim, Young-Cheol Bang, Hyu...
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
The use of a realistic component library with multiple implementations of operators, results in cost efcient designs; slow components can then be used on non-critical paths and t...
In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source ...
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li S...