290 search results - page 30 / 58 » Feature Extraction for Massive Data Mining |
117
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PKDD
2007
Springer
15 years 10 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
126
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
134
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CANDC
2004
ACM
15 years 4 months ago
2004
ACM
The exponential growth of large-scale molecular sequence data and of the PubMed scientific literature has prompted active research in biological literature mining and information ...
133
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ER
2003
Springer
15 years 9 months ago
2003
Springer
XML is becoming a prevalent format for data exchange. Many XML documents have complex schemas that are not always known, and can vary widely between information sources and applica...
157
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HAIS
2009
Springer
15 years 9 months ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...