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166
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ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
144
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PAKDD
2000
ACM
15 years 8 months ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
132
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KDD
2005
ACM
16 years 5 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
153
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KDD
2006
ACM
16 years 5 months ago
2006
ACM
Recent work has shown the feasibility and promise of templateindependent Web data extraction. However, existing approaches use decoupled strategies ? attempting to do data record ...
147
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...