Bias correction for selecting the minimal-error classifier from many machine learning models.
Ying DingShaowu TangSerena G. LiaoJia JiaSteffi OesterreichYan LinGeorge C. TsengPublished in: Bioinform. (2014)
Keyphrases
- machine learning models
- bias correction
- spam filtering
- machine learning algorithms
- naive bayes models
- machine learning approaches
- support vector
- intensity inhomogeneity
- predictive model
- learning models
- feature selection
- training set
- maximum entropy principle
- semi supervised
- learning algorithm
- svm classifier
- machine learning
- class labels
- bayesian networks
- decision trees
- data sets
- classification algorithm
- feature space
- training data
- support vector machine
- regression model
- naive bayes
- mixed membership
- artificial neural networks
- neural network