2513 search results - page 289 / 503 » Improving Generalization by Data Categorization |
183
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ACL
2012
13 years 9 months ago
2012
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
174
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
172
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
171
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ICCAD
2003
IEEE
16 years 3 months ago
2003
IEEE
— Memory-intensive applications present unique challenges to an ASIC designer in terms of the choice of memory organization, memory size requirements, bandwidth and access latenc...
196
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...