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Träfflista för sökning "WFRF:(To C.) srt2:(2005-2009)"

Sökning: WFRF:(To C.) > (2005-2009)

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  • To, Cuong C, et al. (författare)
  • Analysis of cancer data using evolutionary computation
  • 2009
  • Ingår i: Computational Biology. - New York, NY : Springer-Verlag New York. - 9781441908100 - 9781441908117 ; , s. 125-147
  • Bokkapitel (refereegranskat)abstract
    • We present several methods based on evolutionary computation for classification of oncology data. The results in comparisons with other existing techniques show that our evolutionary computation-based methods are superior in most cases. Evolutionary computation is effective in this study because it can offer efficiency in searching in high-dimension space, particularly in nonlinear optimization and hard optimization problems. The first part of this chapter is the review of some previous work on cancer classification. The second part is an overview of evolutionary computation. The third part focuses on methods based on evolutionary computation and their applications on oncology data. Finally, this chapter concludes with some remarks and suggestions for further investigation.
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5.
  • To, Cuong C, et al. (författare)
  • Understanding predictability of bio-signals using genetic algorithms and sample entropy
  • 2009
  • Ingår i: Proceedings of the 2nd WSEAS international conference on Biomedical electronics and biomedical informatics. - 9789604741106 ; , s. 47-51
  • Konferensbidrag (refereegranskat)abstract
    • Entropy methods (approximate and sample entropy) have been studied to measure the complexity or predictability of finite length time series. The identification of parameters of this entropy family is indispensable task to enable the measure of predictability of time-series data. So far, there have been no general rules to select these parameters; they rather depend on particular problems. In this paper, we introduce a genetic-algorithm based entropy method which optimally selects these parameters in the sense that the discrimination between healthy and pathologic group’s entropy is maximized.
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  • Resultat 1-5 av 5

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