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110
Voted
AUSDM
2006
Springer
15 years 7 months ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
105
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of co...
169
Voted
CN
2006
15 years 3 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
126
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JMLR
2010
14 years 10 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
151
Voted
TKDE
2008
15 years 3 months ago
2008
UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...