Wen-Ming Lee

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Breast cancer is a common to females worldwide. Today, technological advancements in cancer treatment innovations have increased the survival rates. Many theoretical and experimental studies have shown that a multiple classifier system is an effective technique for reducing prediction errors. This study compared the particle swarm optimizer (PSO) based(More)
4135 Fig. 3 indicates that the computational cost of iterative GBF is significantly lower than those of greedy bit filling [3] and the algorithm in [2], particularly in cases of larger N and smaller b. For instance, when N = 512 and b = 6 is the case, R 1 varies from 88% to 98% along with η, whereas the value of R 2 is almost steadily 88%. For given values(More)
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