Early Stopping
الإيقاف المبكر للتدريب
آلية مراقبة تنهي عملية التدريب تلقائياً فور ملاحظة توقف تحسن أداء النموذج على بيانات التحقق منعاً للإفراط.
Early Stopping
Also translated asالإنهاء التلقائي عند استقرار الفقد، كبح التدريب الزائد زمنياً
First appears in this corpus in: Optimal Brain Damage (1989)
Appears in these papers
- A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting1997in the sky ✦
- Neural Networks and the Bias/Variance Dilemma1992in the sky ✦
- Okapi at TREC-31994in the sky ✦
- Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019in the sky ✦
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014in the sky ✦
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets2022in the sky ✦
- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018in the sky ✦
- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018in the sky ✦
- No Free Lunch Theorems for Optimization1997in the sky ✦
- Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018in the sky ✦
- Optimal Brain Damage1989in the sky ✦
- XGBoost: A Scalable Tree Boosting System2016in the sky ✦