A Training Method with Small Computation for Classification.
Kazuyuki HaraKenji NakayamaPublished in: IJCNN (3) (2000)
Keyphrases
- classification method
- classification accuracy
- training samples
- preprocessing
- training process
- support vector machine svm
- training set
- training phase
- classification scheme
- significant improvement
- feature space
- error rate
- cross validation
- high accuracy
- support vector machine
- machine learning methods
- computational cost
- objective function
- classification process
- avoid overfitting
- classification performances
- machine learning
- clustering method
- model selection
- detection method
- feature set
- probabilistic model
- neural network
- feature selection
- ordinal data
- svm training
- decision trees
- feature vectors
- k means
- training algorithm
- cost function
- density estimation
- benchmark data sets
- decision rules