Adaboost及其派生算法

Examples of boosting algorithms

The main variation between many boosting algorithms is their method of weighting training data points and hypotheses.AdaBoost is very popular and perhaps the most significant historically as it was the first algorithm that could adapt to the weak learners. However, there are many more recent algorithms such as LPBoost, TotalBoost,BrownBoost, MadaBoost,LogitBoost, and others. Many boosting algorithms fit into the AnyBoost framework,^[5] which shows that boosting performs gradient descent in function space using a convex cost function.

See also

• AdaBoost
• Alternating decision tree
• Bootstrap aggregating
• Cascading
• BrownBoost
• CoBoosting

• GentleBoost
• LPBoost
• logistic regression
• maximum entropy methods
• neural networks
• support vector machines

• RankBoost
• margin classifiers
• cross-validation
• machine learning

来源：http://www.thefullwiki.org/Boosting