403 search results - page 9 / 81 » Metric and Kernel Learning Using a Linear Transformation |
110
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KDD
2006
ACM
16 years 3 days ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
100
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BMVC
2010
14 years 9 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
KDD
2008
ACM
16 years 3 days ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
NN
2006
Springer
14 years 11 months ago
2006
Springer
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...