Efficient spectral feature selection with minimum redundancy
作者： Huan Liu , Lei Wang , Zheng Zhao
DOI:
关键词:
摘要: Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and …
elsevier.com
acm.org 参考文章(26)
Robert Tibshirani, Trevor Hastie, Jerome H. Friedman, The Elements of Statistical Learning ,(2001)
M. Hall, Correlation-based Feature Selection for Machine Learning PhD Thesis, Waikato Univer-sity. ,(1998)
Marko Robnik-Šikonja, Igor Kononenko, Theoretical and Empirical Analysis of ReliefF and RReliefF Machine Learning. ,vol. 53, pp. 23- 69 ,(2003) , 10.1023/A:1025667309714
Umesh V. Vazirani, Michael J. Kearns, An Introduction to Computational Learning Theory ,(1994)
Hiroshi Motoda, Huan Liu, Feature Selection for Knowledge Discovery and Data Mining ,(1998)
J.A.K. Suykens, J. Vandewalle, Least Squares Support Vector Machine Classifiers Neural Processing Letters. ,vol. 9, pp. 293- 300 ,(1999) , 10.1023/A:1018628609742
Shuiwang Ji, Jun Liu, Jieping Ye, Multi-task feature learning via efficient l 2, 1 -norm minimization uncertainty in artificial intelligence. pp. 339- 348 ,(2009)
Liang Sun, Shuiwang Ji, Jieping Ye, A least squares formulation for a class of generalized eigenvalue problems in machine learning Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09. pp. 977- 984 ,(2009) , 10.1145/1553374.1553499
Evgeniy Gabrilovich, Shaul Markovitch, Text categorization with many redundant features Twenty-first international conference on Machine learning - ICML '04. pp. 41- ,(2004) , 10.1145/1015330.1015388
Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil, Convex multi-task feature learning Machine Learning. ,vol. 73, pp. 243- 272 ,(2008) , 10.1007/S10994-007-5040-8