Yoav Freund
(5 articles)
1989
Boosting
ML ensemble technique that combines multiple weak learners to form a strong learner, aiming to improve the accuracy of predictions.
Generality: 800
1992
Ensamble Algorithm
Combines multiple machine learning models to improve overall performance by reducing bias, variance, or noise.
Generality: 860
1996
Ensemble Methods
ML technique where multiple models are trained and used collectively to solve a problem.
Generality: 860
1996
Ensemble Learning
ML paradigm where multiple models (often called weak learners) are trained to solve the same problem and combined to improve the accuracy of predictions.
Generality: 795
1996
Meta-Classifier
Algorithm that combines multiple ML models to improve prediction accuracy over individual models.
Generality: 811