996 search results - page 111 / 200 » Generalised Kernel Machines |
HICSS
1997
IEEE
14 years 1 months ago
1997
IEEE
We describe an environment to produce traces representing significant workloads for a shared-bus shared-memory multiprocessor used as a general-purpose multitasking machine, wher...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
JIIS
2006
13 years 8 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
JMLR
2006
13 years 8 months ago
2006
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
TIP
2008
13 years 8 months ago
2008
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...