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人工智能/神经网络 Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...
matlab例程 AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo fi ...
人工智能/神经网络 AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
电子书籍 Learning Wireless Java
Learning Wireless Java
电子书籍 machine learning
machine learning
电子书籍 Learning.Python.2nd.Edition
Learning.Python.2nd.Edition
电子书籍 Learning Standard C++ as a New Language
Learning Standard C++ as a New Language
USB编程 USBFX2LK WDM drive for OSR s USB FX2 Learning Kit
USBFX2LK WDM drive for OSR s USB FX2 Learning Kit
人工智能/神经网络 Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning c
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous ...
matlab例程 Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cyberneti ...