117 search results - page 7 / 24 » Kernel Conjugate Gradient for Fast Kernel Machines |
PR
2007
13 years 6 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
COLT
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
ICCV
2005
IEEE
14 years 29 days ago
2005
IEEE
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
ECML
2004
Springer
14 years 23 days ago
2004
Springer
One approach to improve the accuracy of classifications based on generative models is to combine them with successful discriminative algorithms. Fisher kernels were developed to c...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
String kernels which compare the set of all common substrings between two given strings have recently been proposed by Vishwanathan & Smola (2004). Surprisingly, these kernels...