Model Selection
اختيار النموذج
عملية اختيار درجة التعقيد المناسبة للنموذج (عدد المعاملات، درجة كثير الحدود، عدد الوحدات الخفية) لتحقيق أفضل توازن بين الانحياز والتباين على بيانات محدودة.
The process of choosing the appropriate model complexity (number of parameters, polynomial degree, hidden units) to achieve the best bias-variance balance on finite data.
Also translated asانتقاء النموذج، تحديد النموذج الأمثل
First appears in this corpus in: Nearest Neighbor Pattern Classification (1967)
Appears in these papers
- Time Series Analysis: Forecasting and Control1970in the sky ✦
- Neural Networks and the Bias/Variance Dilemma1992in the sky ✦
- Neural Networks and the Bias/Variance Dilemma1992in the sky ✦
- Gaussian Processes for Machine Learning2006in the sky ✦
- HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face2023in the sky ✦
- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018in the sky ✦
- Nearest Neighbor Pattern Classification1967in the sky ✦
- No Free Lunch Theorems for Optimization1997in the sky ✦