4629 search results - page 28 / 926 » Space Kernel Analysis |
117
click to vote
TNN
2008
14 years 11 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
109
click to vote
COLT
2007
Springer
15 years 6 months ago
2007
Springer
In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be partitioned into two different views, where it is assum...
ICASSP
2010
IEEE
15 years 1 days ago
2010
IEEE
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
121
click to vote
COLT
1999
Springer
15 years 4 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
201
click to vote
FAST
2011
14 years 3 months ago
2011
We present Anticipatory Memory Allocation (AMA), a new method to build kernel code that is robust to memoryallocation failures. AMA avoids the usual difficulties in handling allo...