https://terms-en.ai-term-hub.com/zh/tags/feature-selection/Recent content in Feature Selection on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/structured_sparsity_regularization/Sat, 18 Jul 2026 11:35:19 +0000https://terms-en.ai-term-hub.com/zh/terms/structured_sparsity_regularization/<h2 id="definition">Definition</h2> <p>结构化稀疏正则化扩展了标准的L1正则化，鼓励在特定模式中产生零值，而不是独立地对待各个系数。它融入了关于特征之间潜在结构或分组的先验知识。</p> <h3 id="summary">Summary</h3> <p>一种正则化技术，基于对数据中特征分组或结构的先验知识，强制实施特定的稀疏模式。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>组Lasso</li> <li>特征分组</li> <li>稀疏恢复</li> <li>先验知识整合</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>具有通路结构的基因表达分析</li> <li>具有块稀疏信号图像处理</li> <li>具有共享特征集的多任务学习</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/lasso%E5%9B%9E%E5%BD%92-lasso-regression-%E4%BD%BF%E7%94%A8l1%E6%AD%A3%E5%88%99%E5%8C%96%E7%9A%84%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/">Lasso回归 (Lasso regression，使用L1正则化的线性回归)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E5%BC%B9%E6%80%A7%E7%BD%91%E7%BB%9C-elastic-net-%E7%BB%93%E5%90%88l1%E5%92%8Cl2%E6%AD%A3%E5%88%99%E5%8C%96%E7%9A%84%E6%96%B9%E6%B3%95/">弹性网络 (Elastic net，结合L1和L2正则化的方法)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E7%89%B9%E5%BE%81%E9%80%89%E6%8B%A9-feature-selection-%E4%BB%8E%E5%8E%9F%E5%A7%8B%E7%89%B9%E5%BE%81%E4%B8%AD%E6%8C%91%E9%80%89%E5%AD%90%E9%9B%86/">特征选择 (Feature selection，从原始特征中挑选子集)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E5%8E%8B%E7%BC%A9%E6%84%9F%E7%9F%A5-compressed-sensing-%E5%88%A9%E7%94%A8%E7%A8%80%E7%96%8F%E6%80%A7%E4%BB%8E%E5%B0%91%E9%87%8F%E6%B5%8B%E9%87%8F%E4%B8%AD%E9%87%8D%E5%BB%BA%E4%BF%A1%E5%8F%B7/">压缩感知 (Compressed sensing，利用稀疏性从少量测量中重建信号)</a></li> </ul>