2208 search results - page 71 / 442 » Privacy-Preserving Classifier Learning |
135
Voted
CIKM
2008
Springer
15 years 4 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
114
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely af...
121
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers...
131
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
129
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...