151 search results - page 17 / 31 » Optimized Approximation Algorithm in Neural Networks Without... |
119
Voted
ISNN
2010
Springer
15 years 6 months ago
2010
Springer
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
117
Voted
ICDE
2012
IEEE
13 years 4 months ago
2012
IEEE
— We consider how to support a large number of users over a wide-area network whose interests are characterized by range top-k continuous queries. Given an object update, we need...
104
Voted
MSWIM
2005
ACM
15 years 7 months ago
2005
ACM
Emerging multi-hop wireless mesh networks have much different characteristics than the Internet. They have low dimensionality and large diameters. Content and service replication ...
IJCNN
2007
IEEE
15 years 8 months ago
2007
IEEE
—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
140
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ICANN
2005
Springer
15 years 7 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...