1364 search results - page 181 / 273 » Sampling Methods for Unsupervised Learning |
124
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SDM
2010
SIAM
15 years 3 months ago
2010
SIAM
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
132
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KDD
2004
ACM
16 years 2 months ago
2004
ACM
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
126
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GRC
2010
IEEE
15 years 3 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
123
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ICAIL
2005
ACM
15 years 8 months ago
2005
ACM
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...
119
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AAAI
1996
15 years 3 months ago
1996
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...