2223 search results - page 286 / 445 » Ontological Framework for Approximation |
161
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COLT
1999
Springer
15 years 9 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...
126
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AAAI
2008
15 years 7 months ago
2008
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
134
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ATAL
2008
Springer
15 years 6 months ago
2008
Springer
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
138
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IPCO
2007
15 years 6 months ago
2007
Abstract. We consider the single machine scheduling problem to minimize the average weighted completion time under precedence constrains. Improving on the various 2-approximation a...
123
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NIPS
2007
15 years 6 months ago
2007
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...