https://terms-en.ai-term-hub.com/zh/tags/model-design/Recent content in Model Design 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/inductive_bias/Sat, 18 Jul 2026 11:22:14 +0000https://terms-en.ai-term-hub.com/zh/terms/inductive_bias/<h2 id="definition">Definition</h2> <p>归纳偏置代表了内置于机器学习模型中的固有偏好或约束，使其能够从训练数据泛化到未见过的数据。如果没有这些偏置，模型将无法&hellip;</p> <h3 id="summary">Summary</h3> <p>学习算法用于预测训练期间未见过的输入输出的一组假设。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>泛化</li> <li>假设</li> <li>模型约束</li> <li>公平性</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>设计公平算法</li> <li>防止模型过拟合</li> <li>审计AI系统中的偏见</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <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> <li><a href="https://terms-en.ai-term-hub.com/en/terms/algorithmic-fairness-%E7%AE%97%E6%B3%95%E5%85%AC%E5%B9%B3%E6%80%A7/">Algorithmic Fairness (算法公平性)</a></li> <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/generalization-error-%E6%B3%9B%E5%8C%96%E8%AF%AF%E5%B7%AE/">Generalization Error (泛化误差)</a></li> </ul>