Improving SNR and Reducing Training Time of Classifiers in Large Datasets via Kernel Averaging.
Matthias Sebastian TrederPublished in: BI (2018)
Keyphrases
- linear svm
- support vector
- training set
- training and testing data
- test set
- logistic regression
- training data
- training samples
- signal to noise ratio
- text categorization
- training examples
- training dataset
- text classification tasks
- trained classifiers
- kernel classifiers
- feature selection
- weakly labeled data
- accurate classifiers
- supervised learning tasks
- decision trees
- associative classifiers
- linear classifiers
- feature space
- gaussian kernels
- text classifiers
- decision stumps
- training set size
- sufficient training data
- training process
- discriminative classifiers
- boosted classifiers
- hyperplane
- text classification
- labeled training data
- kernel function
- naive bayes
- kernel machines
- multiple kernel learning
- support vectors
- neural network
- supervised training
- ensemble learning
- machine learning algorithms
- support vector machine
- active learning
- face recognition
- machine learning