Ensemble
النماذج التجميعية الهجينة
منهجية دمج وتوليف مخرجات عدة خوارزميات ونماذج مختلفة معاً لإنتاج تنبؤ نهائي موحد وأكثر دقة واستقراراً.
Ensemble
Also translated asدمج مخرجات خوارزميات متعددة لرفع الدقة، التوليف الإحصائي لقرارات الشبكات
First appears in this corpus in: The Strength of Weak Learnability (1990)
Appears in these papers
- A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting1997in the sky ✦
- Bagging Predictors1996in the sky ✦
- Bagging Predictors1996in the sky ✦
- Deep Reinforcement Learning from Human Preferences2017in the sky ✦
- Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019in the sky ✦
- Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019in the sky ✦
- Greedy Function Approximation: A Gradient Boosting Machine2001in the sky ✦
- Isolation Forest2008in the sky ✦
- Distilling the Knowledge in a Neural Network2015in the sky ✦
- LightGBM: A Highly Efficient Gradient Boosting Decision Tree2017in the sky ✦
- LightGBM: A Highly Efficient Gradient Boosting Decision Tree2017in the sky ✦
- N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019in the sky ✦
- N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019in the sky ✦
- Random Forests2001in the sky ✦
- Random Forests2001in the sky ✦
- Self-Consistency Improves Chain of Thought Reasoning in Language Models2022in the sky ✦
- Self-Consistency Improves Chain of Thought Reasoning in Language Models2022in the sky ✦
- SGDR: Stochastic Gradient Descent with Warm Restarts2017in the sky ✦
- SGDR: Stochastic Gradient Descent with Warm Restarts2017in the sky ✦
- Spatial Transformer Networks2015in the sky ✦
- The Strength of Weak Learnability1990in the sky ✦
- XGBoost: A Scalable Tree Boosting System2016in the sky ✦