搜索资源列表
MLC21NT-C
- machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based algorit
Baggingboostingandc45
- 模式识别bagging boosting c4.5算法-Bagging boosting c4.5 algorithm for pattern recognition
SVM
- 选择性集成学习、遗传算法、Bagging算法(Selective integrated learning, genetic algorithm and Bagging algorithm)
vote
- 可以集成多个分类器的投票算法，采用python实现(The voting algorithm of multiple classifiers can be integrated and implemented by python.)
balancevote
- 针对不平衡样本的，可以综合多个分类器的投票算法。(For the unbalanced samples, the voting algorithm of multiple classifiers can be synthesized.)
GA-Bagging-SVM-code
- 基于matlab软件的Ga-bagging-svm程序，包含算例data，编写规范，非常好用(Ga-bagging-svm program based on MATLAB software, including example data, compiling specifications, very useful)