709 search results - page 94 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
128
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
145
Voted
IPPS
1998
IEEE
15 years 8 months ago
1998
IEEE
Abstract. Several computing environments including wide area networks and nondedicated networks of workstations are characterized by frequent unavailability of the participating ma...
107
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
133
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
126
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GPCE
2009
Springer
15 years 8 months ago
2009
Springer
Dynamic aspect-oriented programming (AOP) enables runtime adaptation of aspects, which is important for building sophisticated, aspect-based software engineering tools, such as ad...