How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.
Zhiyun LuAvner MayKuan LiuAlireza Bagheri GarakaniDong GuoAurélien BelletLinxi FanMichael CollinsBrian KingsburyMichael PichenyFei ShaPublished in: CoRR (2014)
Keyphrases
- kernel methods
- neural nets
- learning tasks
- kernel function
- neural network
- kernel matrix
- feed forward
- support vector
- machine learning
- back propagation
- feature space
- artificial neural networks
- support vector machine
- reproducing kernel hilbert space
- kernel pca
- scale space
- multiple kernel learning
- graph kernels
- kernel ridge regression
- input space
- clustering algorithm
- kernel matrices