7581 search results - page 1179 / 1517 » Incompleteness in Data Mining |
215
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ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
204
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ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
216
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ADMA
2010
Springer
15 years 1 months ago
2010
Springer
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
353
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PAKDD
2011
ACM
15 years 12 days ago
2011
ACM
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
268
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PAKDD
2011
ACM
14 years 9 months ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...