2958 search results - page 157 / 592 » Using Anonymized Data for Classification |
141
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ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
121
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COLING
2010
14 years 10 months ago
2010
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
113
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SOCIALCOM
2010
15 years 26 days ago
2010
Abstract--With the proliferation of internet-based social networks into our lives, new mechanisms to control the release and use of personal data are required. As a step toward thi...
148
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
109
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DCC
2003
IEEE
15 years 8 months ago
2003
IEEE
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...