Advancing feature selection research
暂无分享,去创建一个
Huan Liu | Fred Morstatter | Zheng Zhao | Salem Alelyani | Shashvata Sharma | Aneeth Anand | Huan Liu | Fred Morstatter | Zheng Zhao | Salem Alelyani | Shashvata Sharma | Aneeth Anand
[1] Larry A. Rendell,et al. A Practical Approach to Feature Selection , 1992, ML.
[2] Sanjay Shete,et al. Finding factors influencing risk: Comparing Bayesian stochastic search and standard variable selection methods applied to logistic regression models of cases and controls , 2008, Statistics in medicine.
[3] Huan Liu,et al. Semi-supervised Feature Selection via Spectral Analysis , 2007, SDM.
[4] Pedro Larrañaga,et al. A review of feature selection techniques in bioinformatics , 2007, Bioinform..
[5] L. J. Wei,et al. Asymptotic Conservativeness and Efficiency of Kruskal-Wallis Test for K Dependent Samples , 1981 .
[6] Juyang Weng,et al. Efficient content-based image retrieval using automatic feature selection , 1995, Proceedings of International Symposium on Computer Vision - ISCV.
[7] Tao Li,et al. A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression , 2004, Bioinform..
[8] Deng Cai,et al. Laplacian Score for Feature Selection , 2005, NIPS.
[9] Naftali Tishby,et al. Margin based feature selection - theory and algorithms , 2004, ICML.
[10] Ron Kohavi,et al. Irrelevant Features and the Subset Selection Problem , 1994, ICML.
[11] Hiroshi Motoda,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.
[12] Zenglin Xu,et al. Discriminative Semi-Supervised Feature Selection Via Manifold Regularization , 2009, IEEE Transactions on Neural Networks.
[13] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[14] Yichao Wu,et al. Ultrahigh Dimensional Feature Selection: Beyond The Linear Model , 2009, J. Mach. Learn. Res..
[15] Jieping Ye,et al. Identifying biologically relevant genes via multiple heterogeneous data sources , 2008, KDD.
[16] Gavin C. Cawley,et al. Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation , 2006, NIPS.
[17] Zhoujun Li,et al. Minimum Redundancy Gene Selection Based on Grey Relational Analysis , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[18] Huan Liu,et al. Spectral feature selection for supervised and unsupervised learning , 2007, ICML '07.
[19] Lloyd A. Smith,et al. Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper , 1999, FLAIRS.
[20] Jian Huang,et al. Penalized feature selection and classification in bioinformatics , 2008, Briefings Bioinform..
[21] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[22] David G. Stork,et al. Pattern Classification , 1973 .
[23] H. Horvitz,et al. MicroRNA expression profiles classify human cancers , 2005, Nature.
[24] S. Sathiya Keerthi,et al. A simple and efficient algorithm for gene selection using sparse logistic regression , 2003, Bioinform..
[25] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[26] C. Ding,et al. Gene selection algorithm by combining reliefF and mRMR , 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.
[27] Pedro Larrañaga,et al. Filter versus wrapper gene selection approaches in DNA microarray domains , 2004, Artif. Intell. Medicine.
[28] Chris H. Q. Ding,et al. Stable feature selection via dense feature groups , 2008, KDD.
[29] Robert Nadon,et al. Comparison of small n statistical tests of differential expression applied to microarrays , 2009, BMC Bioinformatics.
[30] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[31] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[32] Salvatore J. Stolfo,et al. Adaptive Intrusion Detection: A Data Mining Approach , 2000, Artificial Intelligence Review.
[33] Ivan Bratko,et al. Testing the significance of attribute interactions , 2004, ICML.
[34] George Forman,et al. An Extensive Empirical Study of Feature Selection Metrics for Text Classification , 2003, J. Mach. Learn. Res..
[35] Bernhard Schölkopf,et al. Use of the Zero-Norm with Linear Models and Kernel Methods , 2003, J. Mach. Learn. Res..
[36] Ian Witten,et al. Data Mining , 2000 .
[37] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Le Song,et al. Supervised feature selection via dependence estimation , 2007, ICML '07.
[39] Huan Liu,et al. Toward integrating feature selection algorithms for classification and clustering , 2005, IEEE Transactions on Knowledge and Data Engineering.
[40] Huan Liu,et al. An Integrative Approach to Indentifying Biologically Relevant Genes , 2010, SDM.
[41] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[42] Huan Liu,et al. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution , 2003, ICML.
[43] Chris H. Q. Ding,et al. Minimum redundancy feature selection from microarray gene expression data , 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.
[44] Gavin C. Cawley,et al. Gene Selection in Cancer Classification using Sparse Logistic Regression with Bayesian Regularisation , 2006 .
[45] Hiroshi Motoda,et al. Computational Methods of Feature Selection , 2022 .
[46] Huan Liu,et al. Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis , 2008, FSDM.
[47] Igor Kononenko,et al. Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.
[48] Huan Liu,et al. Chi2: feature selection and discretization of numeric attributes , 1995, Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence.
[49] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[50] Shuangge Ma. BMC Bioinformatics BioMed Central Methodology article Empirical study of supervised gene screening , 2006 .
[51] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[52] Carla E. Brodley,et al. Feature Selection for Unsupervised Learning , 2004, J. Mach. Learn. Res..
[53] Huiqing Liu,et al. A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. , 2002, Genome informatics. International Conference on Genome Informatics.
[54] Huan Liu,et al. Searching for Interacting Features , 2007, IJCAI.
[55] Madhu Chetty,et al. Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data , 2005, BMC Bioinformatics.
[56] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..