209 search results - page 15 / 42 » Analyzing the Errors of Unsupervised Learning |
NIPS
2001
14 years 11 months ago
2001
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
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ICMLA
2009
14 years 7 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
PAMI
2006
14 years 9 months ago
2006
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
IDEAL
2007
Springer
15 years 3 months ago
2007
Springer
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...