Discrimination of adulteration cow milk by improved υ-support vector machines (υ-SVM) and near infrared spectroscopy.
L. J. NiL. G. ZhangM. Y. TangZ. B. XueXin ZhangXin GuShixin HuangPublished in: ICNC (2012)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- feature selection
- support vector machine
- svm classifier
- kernel function
- support vectors
- quantitative analysis
- support vector machine svm
- hyperplane
- multi class
- binary classification
- kernel methods
- rbf kernel
- structural risk minimization
- generalization ability
- training data
- kernel parameters
- cross validation
- logistic regression
- multi class classification
- support vector regression
- training examples
- kernel machines
- svm classification
- decision function
- machine learning
- cost sensitive
- soft margin
- reduced set
- maximum margin
- radial basis function
- generalization bounds
- improved algorithm
- knn
- number of support vectors
- polynomial kernels
- classification algorithm