709 search results - page 81 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
149
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
116
click to vote
ICS
1999
Tsinghua U.
15 years 8 months ago
1999
Tsinghua U.
This paper presents an investigation into local mechanisms and scheduling policies that allow guest processes to efficiently exploit otherwise-idle workstation resources. Unlike t...
137
Voted
ESWS
2008
Springer
15 years 5 months ago
2008
Springer
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
171
click to vote
ESANN
2007
15 years 5 months ago
2007
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
LREC
2008
15 years 5 months ago
2008
In this work we propose a new strategy for the authorship identification problem and we test it on an example from Romanian literature: did Radu Albala found the continuation of M...