1577 search results - page 99 / 316 » Data Mining: Machine Learning, Statistics, and Databases |
127
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ML
2010
ACM
14 years 8 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
111
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
128
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KAIS
2006
15 years 1 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
107
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
157
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
The Semantic Web initiative puts emphasis not primarily on putting data on the Web, but rather on creating links in a way that both humans and machines can explore the Web of data...