https://terms-en.ai-term-hub.com/zh/tags/machine-learning-theory/Recent content in Machine Learning Theory 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/biasvariance_tradeoff/Sat, 18 Jul 2026 11:09:15 +0000https://terms-en.ai-term-hub.com/zh/terms/biasvariance_tradeoff/<h2 id="definition">Definition</h2> <p>偏差-方差权衡描述了欠拟合（高偏差）和过拟合（高方差）之间的张力。高偏差模型对数据做出强烈假设，可能会忽略相关关系；而高方差模型则过于关注训练数据中的噪声。</p> <h3 id="summary">Summary</h3> <p>监督学习中的一个基本问题，最小化误差需要在模型复杂度和泛化能力之间取得平衡。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>欠拟合</li> <li>过拟合</li> <li>泛化</li> <li>模型复杂度</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>模型选择</li> <li>超参数调优</li> <li>公平性审计</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/regularization-%E6%AD%A3%E5%88%99%E5%8C%96/">Regularization (正则化)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/cross-validation-%E4%BA%A4%E5%8F%89%E9%AA%8C%E8%AF%81/">Cross-Validation (交叉验证)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/ensemble-methods-%E9%9B%86%E6%88%90%E6%96%B9%E6%B3%95/">Ensemble Methods (集成方法)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/overfitting-%E8%BF%87%E6%8B%9F%E5%90%88/">Overfitting (过拟合)</a></li> </ul>