1118 search results - page 25 / 224 » Convex Optimization |
135
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JGO
2010
15 years 2 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
167
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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...
140
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
131
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
We prove existence and uniqueness of the minimizer for the average geodesic distance to the points of a geodesically convex set on the sphere. This implies a corresponding existen...
174
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WIOPT
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract—We consider the problem of jointly optimizing random access and subgraph selection in coded wireless packet networks. As opposed to the corresponding scheduling approach...