An ensemble classification algorithm for convolutional neural network based on AdaBoost.
Shuo YangLi-Fang ChenTao YanYun-Hao ZhaoYe-Jia FanPublished in: ICIS (2017)
Keyphrases
- classification algorithm
- classifier ensemble
- base learners
- base classifiers
- learning algorithm
- training set
- naive bayes
- ensemble learning
- neural network
- class labels
- ensemble methods
- concept drift
- knn
- k nearest neighbor
- majority voting
- ensemble classifier
- decision trees
- support vector machine
- weak learners
- weak classifiers
- classification method
- multi class
- training phase
- classification rules
- document classification
- accurate classification
- training data
- machine learning
- text classification
- nearest neighbor
- random forest
- feature selection
- random forests
- learning scheme
- object recognition
- data sets
- face detection
- computer vision
- data points