117 search results - page 3 / 24 » Kernel Conjugate Gradient for Fast Kernel Machines |
152
Voted
ICML
2006
IEEE
16 years 6 months ago
2006
IEEE
185
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
168
Voted
JMLR
2006
15 years 5 months ago
2006
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
154
Voted
JMLR
2010
15 years 18 days ago
2010
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
