机译:通过将基因相似性纳入LASSO,改进了特征选择
Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA;
Department of Mathematics and Statistics, Oakland University, Rochester, MI,USA;
Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA;
Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA;
Radiation Oncology Department and BioBank Department Beaumont Health System, Royal Oak, MI, USA;
Gene Expression; Gene Ontology; Least Absolute Shrinkage and Selection Operator (LASSO); Regression; Semantic Similarity;
机译:特征网络模型中的特征选择:使用正套索查找特征的预测子集
机译:使用轻松的套索和广义多级支持向量机进行微阵列数据的特征选择和肿瘤分类
机译:具有多模态深度神经网络和稀疏组LASSO的异构特征选择
机译:通过将基因相似性纳入LASSO,改进了特征选择
机译:通过支持向量机的变速驱动轴承故障检测,结合了使用遗传算法进行的特征选择。
机译:一种新的基因表达试验方法通过改善SVM-RFE基因选择方法与套索相结合以降低成本和时间减少乳腺癌风险
机译:租赁无约束分布式滞后非线性模型的多个时期财务遇险预测和特征选择