Network-based support vector machine for classification of microarray samples
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Cites background from "Network-based support vector machin..."
...…straightforward, at least in principle, to apply our proposed network-based penalty to generalized linear models (e.g., Zhu and Hastie, 2004) and other classification models (Zhu, Shen, and Pan, 2009), though more work, especially in developing fast and accurate computational algorithms, is needed....
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123 citations
Cites methods from "Network-based support vector machin..."
...Genetic algorithms (GAs) [7] are generally used as the search engine for feature subset in the embedded method, while other classification methods, such as estimation of distribution algorithm (EDA) with SVM [8-13], K nearest neighbors/ genetic algorithms (KNN/GA) [14], genetic algorithmssupport vector machine (GA-SVM) [15] and so forth, are used to select feature subset....
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102 citations
References
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"Network-based support vector machin..." refers background in this paper
...Third, the penalty term, under certain conditions, tends to encourage a grouping effect, where highly correlated predictors tend to have similar coefficient estimates [17-20]....
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11,507 citations