2884 search results - page 157 / 577 » Evaluating learning algorithms and classifiers |
114
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DCC
2009
IEEE
16 years 5 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
165
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CVPR
2009
IEEE
15 years 11 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
159
Voted
KDD
2006
ACM
16 years 5 months ago
2006
ACM
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
161
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
179
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SSPR
2004
Springer
15 years 10 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...