1427 search results - page 247 / 286 » Learning with Annotation Noise |
196
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WWW
2011
ACM
14 years 4 months ago
2011
ACM
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
ACL
2011
14 years 1 months ago
2011
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
158
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ICDE
2003
IEEE
15 years 11 months ago
2003
IEEE
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
112
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BMCBI
2010
14 years 9 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...