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» Experimental Comparison of Feature Subset Selection Methods
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MCS
2007
Springer
16 years 3 days ago
Stopping Criteria for Ensemble-Based Feature Selection
Selecting the optimal number of features in a classifier ensemble normally requires a validation set or cross-validation techniques. In this paper, feature ranking is combined with...
Terry Windeatt, Matthew Prior
COLING
2010
15 years 29 days ago
Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs
In cross-language information retrieval it is often important to align words that are similar in meaning in two corpora written in different languages. Previous research shows tha...
Daniel Andrade, Tetsuya Nasukawa, Jun-ichi Tsujii
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
16 years 16 days ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
ICML
2007
IEEE
16 years 6 months ago
Feature selection in a kernel space
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng...
JMLR
2010
108views more  JMLR 2010»
15 years 23 days ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...