2898 search results - page 349 / 580 » Ensemble Methods in Machine Learning |
142
Voted
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...
155
Voted
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
114
Voted
JMLR
2002
15 years 4 months ago
2002
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
124
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
142
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ECAI
2000
Springer
15 years 9 months ago
2000
Springer
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...