Improving SVM accuracy by training on auxiliary data sources.
Pengcheng WuThomas G. DietterichPublished in: ICML (2004)
Keyphrases
- data sources
- training speed
- training process
- training set
- classification performances
- support vector machine svm
- high accuracy
- training algorithm
- classification accuracy
- support vector
- support vector machine
- knn
- fold cross validation
- training set size
- svm training
- multi class
- training examples
- prediction accuracy
- random selection
- error rate
- noise tolerance
- kernel svms
- generalization ability
- feature vectors
- feature space
- classification algorithm
- training dataset
- support vectors
- multi class classification
- database
- stochastic gradient descent
- computational cost
- data model
- training data
- machine learning
- labeling effort
- databases