by Matt Zhang
Adaptive Boosting (AdaBoost)
Presentation Summary
In this presentation, I present:
- adaptive boosting
Examples
You imagine it
References
- Explaining AdaBoost by Robert E. Schapire
- Example usage with BDF
- Comparison with other algorithms
- How Boosting the Margin can Also Boost Classifier Complexity by Reyzin and Schapire
All Machine Learning
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- by Will Wei · Adaptive Boosting
- by Zeqian Li · Markov Decision Process and Reinforcement Learning
- by Yubo 'Paul' Yang · Kriging
- by Dima Kochkov · Generative Adversarial Networks
- by Xiongjie Yu · Neural Network on a Tensor Train
- by Will Wheeler · Reservoir Computing in the Time Domain
- by Yubo 'Paul' Yang · Gibbs Sampling
- by Matt Zhang · Predict Seizure with EEG
- by Matt Zhang · Adaptive Boosting (AdaBoost)
- by Benjamin Villalonga Correa · Introduction to Supervised Machine Learning
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Yubo "Paul" Yang ALGORITHM
machine learning