709 search results - page 73 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
129
Voted
SC
1994
ACM
15 years 7 months ago
1994
ACM
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access patterns change during computation. Implementingsuch problems ondistributed mem...
146
Voted
ICDM
2006
IEEE
15 years 9 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
162
Voted
ICANN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
156
Voted
ECAI
2006
Springer
15 years 7 months ago
2006
Springer
Recent work on Semantic Role Labeling (SRL) has shown that syntactic information is critical to detect and extract predicate argument structures. As syntax is expressed by means of...
130
Voted
TIP
2008
15 years 3 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...