871 search results - page 61 / 175 » Selection of Classifiers Based on Multiple Classifier Behavi... |
128
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EMNLP
2008
15 years 4 months ago
2008
In recent years, with the development of Chinese semantically annotated corpus, such as Chinese Proposition Bank and Normalization Bank, the Chinese semantic role labeling (SRL) t...
111
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ICPR
2002
IEEE
16 years 4 months ago
2002
IEEE
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
123
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ICAPR
2009
Springer
15 years 9 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
135
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HIS
2004
15 years 4 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
129
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AUSAI
2006
Springer
15 years 5 months ago
2006
Springer
The SVM based Recursive Feature Elimination (RFE-SVM) algorithm is a popular technique for feature selection, used in natural language processing and bioinformatics. Recently it wa...