1364 search results - page 110 / 273 » Sampling Methods for Unsupervised Learning |
145
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
144
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SDM
2004
SIAM
15 years 4 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
116
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AAAI
1996
15 years 4 months ago
1996
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
MM
2005
ACM
15 years 8 months ago
2005
ACM
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
155
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NIPS
2008
15 years 4 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...