Adaptive Boosting, AdaBoost是由Yoav F

Adaptive Boosting, AdaBoost是由Yoav Freund和Robert Schapire所提出，如同字面上的意思，AdaBoost結合了Boosting和Adaptive兩個概念[8]。Boosting指的是集成學習，集合多個弱分類器組合成一個強分類器。

結果 (英文) 1:

Adaptive Boosting, AdaBoost is proposed by the Yoav Freund and Robert Schapire, as literally, AdaBoost combination of two concepts Adaptive Boosting and [8]. Boosting learning means integration, a set of a plurality of weak classifiers are combined into a strong classifier.

結果 (英文) 2:

Adaptive Boosting, AdaBoost was proposed by Yoav Freund and Robert Schapire, and literally, AdaBoost combines the concepts of Boosting and Adaptive. Boosting refers to integrated learning, which combines multiple weak classifiers into a strong classifier.

結果 (英文) 3:

Adaptive boosting, AdaBoost is proposed by Yoav Freund and Robert schapire. As the literal meaning, AdaBoost combines the two concepts of boosting and adaptive [8]. Boosting refers to integrated learning, which combines multiple weak classifiers into a strong classifier.