Feature selection with multi-objective genetic algorithm based on a hybrid filter and the symmetrical complementary coefficient
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Rui Zhang | Di Wang | Zuoquan Zhang | Marui Du | Zuoquan Zhang | Rui Zhang | Marui Du | Di Wang
[1] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[2] Max A. Little,et al. Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[3] Igor Kononenko,et al. Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.
[4] David W. Coit,et al. Multi-objective optimization using genetic algorithms: A tutorial , 2006, Reliab. Eng. Syst. Saf..
[5] A. Ng. Feature selection, L1 vs. L2 regularization, and rotational invariance , 2004, Twenty-first international conference on Machine learning - ICML '04.
[6] Yong Zhang,et al. Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm , 2019, Expert Syst. Appl..
[7] Dunwei Gong,et al. Binary differential evolution with self-learning for multi-objective feature selection , 2020, Inf. Sci..
[8] Asit Kumar Das,et al. Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm , 2019, Knowledge and Information Systems.
[9] Ram Sarkar,et al. A wrapper-filter feature selection technique based on ant colony optimization , 2019, Neural Computing and Applications.
[10] Yomi Kastro,et al. Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks , 2019, Neural Computing and Applications.
[11] Daniel Pizarro-Perez,et al. Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy , 2016, IEEE Transactions on Medical Imaging.
[12] J. Clune,et al. Scaling MAP-Elites to deep neuroevolution , 2020, GECCO.
[13] Jaime S. Cardoso,et al. Transfer Learning with Partial Observability Applied to Cervical Cancer Screening , 2017, IbPRIA.
[14] 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.
[15] Rui Zhang,et al. Feature selection with Symmetrical Complementary Coefficient for quantifying feature interactions , 2019, Applied Intelligence.
[16] Rui Zhang,et al. A novel feature selection method considering feature interaction , 2015, Pattern Recognit..
[17] Alberto Cano,et al. Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[18] Tian Zheng,et al. Interaction-based feature selection and classification for high-dimensional biological data , 2012, Bioinform..
[19] Ping Zhang,et al. Feature selection considering the composition of feature relevancy , 2018, Pattern Recognit. Lett..
[20] Ron Kohavi,et al. Irrelevant Features and the Subset Selection Problem , 1994, ICML.
[21] Youwei Wang,et al. Hybrid feature selection using component co-occurrence based feature relevance measurement , 2018, Expert Syst. Appl..
[22] Hui-Huang Hsu,et al. Hybrid feature selection by combining filters and wrappers , 2011, Expert Syst. Appl..
[23] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .
[24] Chih-Cheng Hung,et al. A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection , 2018, Memetic Comput..
[25] Jean-Baptiste Mouret,et al. Illuminating search spaces by mapping elites , 2015, ArXiv.
[26] Giovanni Iacca,et al. Evaluating MAP-Elites on constrained optimization problems , 2019, GECCO.
[27] Sanmay Das,et al. Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection , 2001, ICML.
[28] Chih-Chieh Yang,et al. Multiclass SVM-RFE for product form feature selection , 2008, Expert Syst. Appl..
[29] Witold R. Rudnicki,et al. Feature Selection with the Boruta Package , 2010 .
[30] Luis González Abril,et al. Ameva: An autonomous discretization algorithm , 2009, Expert Syst. Appl..
[31] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[32] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[33] Hongmei He,et al. Information gain directed genetic algorithm wrapper feature selection for credit rating , 2018, Appl. Soft Comput..
[34] Azuraliza Abu Bakar,et al. Hybrid feature selection based on enhanced genetic algorithm for text categorization , 2016, Expert Syst. Appl..
[35] I-Cheng Yeh,et al. The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients , 2009, Expert Syst. Appl..
[36] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[37] Jian Cheng,et al. Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification , 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[38] Sebastián Ventura,et al. Distributed multi-label feature selection using individual mutual information measures , 2020, Knowl. Based Syst..
[39] Youwei Wang,et al. A new hybrid feature selection based on multi-filter weights and multi-feature weights , 2019, Applied Intelligence.
[40] Xiaoyan Sun,et al. Variable-Size Cooperative Coevolutionary Particle Swarm Optimization for Feature Selection on High-Dimensional Data , 2020, IEEE Transactions on Evolutionary Computation.
[41] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[42] Ivan Bratko,et al. Testing the significance of attribute interactions , 2004, ICML.
[43] Federico Divina,et al. Map-Elites Algorithm for Features Selection Problem , 2019, AMW.
[44] Huan Liu,et al. Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..
[45] Marek Lubicz,et al. Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients , 2014, Appl. Soft Comput..
[46] Yuan-Shun Dai,et al. Feature selection based on feature interactions with application to text categorization , 2019, Expert Syst. Appl..
[47] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[48] Kalyanmoy Deb,et al. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.
[49] Qinbao Song,et al. Selecting Feature Subset via Constraint Association Rules , 2012, PAKDD.
[50] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[51] Xiaoming Xu,et al. A hybrid genetic algorithm for feature selection wrapper based on mutual information , 2007, Pattern Recognit. Lett..