Gene Recognition Based on Kernel Least Squares SVM.
Xiao-xia LiBo SunJi-hong ZhangPublished in: BMEI (2009)
Keyphrases
- least squares
- support vector
- ls svm
- kernel function
- least squares support vector machine
- kernel methods
- support vector machine svm
- recognition rate
- object recognition
- microarray
- multiple kernel learning
- kernel machines
- kernel space
- decision function
- feature space
- rbf kernel
- polynomial kernels
- feature extraction
- recognition accuracy
- support vector machine
- kernel parameters
- gene expression
- gaussian kernel
- gene selection
- kernel matrix
- svm classification
- histogram intersection kernel
- pattern recognition
- robust estimation
- knn
- feature selection
- gene ontology
- kernel pca
- recognition algorithm
- radial basis function
- string kernels
- multi class
- standard svm
- training data
- multiple kernel
- computer vision
- kernel ridge regression
- sparse linear
- optical flow
- gaussian kernels
- linear svm
- hyperplane
- machine learning