cross-validation
交叉验证（Cross-validation）是一种强大的统计分析方法，广泛应用于机器学习模型的性能评估与优化。通过将数据集划分为多个子集并轮流作为训练集和测试集使用，Cross-validation能够有效减少过拟合风险，提高模型泛化能力。适用于信号处理、图像识别及控制系统设计等多个电子工程领域。掌...
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PRINCIPLE: PLS cross-validation using the SIMPLS or WIMPLS algorithm, respectively for tall or wide
PRINCIPLE: PLS cross-validation using the SIMPLS or WIMPLS algorithm, respectively for tall or wide X-data. The optimal ...
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machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision
machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes,...