A novel hybrid algorithm for feature selection
暂无分享,去创建一个
Gang Wang | Ying Li | Qian Xu | Jia-Hao Fan | Yue-Feng Zheng | Yu-Peng Chen | Xue-Ting Cui
[1] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Yiu-ming Cheung,et al. Feature Selection and Kernel Learning for Local Learning-Based Clustering , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] R. K. Agrawal,et al. An incremental feature selection approach based on scatter matrices for classification of cancer microarray data , 2015, Int. J. Comput. Math..
[4] Feiping Nie,et al. Feature Selection via Global Redundancy Minimization , 2015, IEEE Transactions on Knowledge and Data Engineering.
[5] Xin-She Yang,et al. Cuckoo search: recent advances and applications , 2013, Neural Computing and Applications.
[6] William Eberle,et al. Genetic algorithms in feature and instance selection , 2013, Knowl. Based Syst..
[7] Jianhua Dai,et al. Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification , 2013, Appl. Soft Comput..
[8] Yuan-Hai Shao,et al. A GA-based model selection for smooth twin parametric-margin support vector machine , 2013, Pattern Recognit..
[9] Xin-She Yang,et al. Discrete cuckoo search algorithm for the travelling salesman problem , 2014, Neural Computing and Applications.
[10] Antonio Cuevas,et al. Variable selection in functional data classification: a maxima-hunting proposal , 2013, 1309.6697.
[11] Parham Moradi,et al. A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy , 2016, Appl. Soft Comput..
[12] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[13] Zne-Jung Lee,et al. Parameter determination of support vector machine and feature selection using simulated annealing approach , 2008, Appl. Soft Comput..
[14] Jonathan M. Garibaldi,et al. A 'non-parametric' version of the naive Bayes classifier , 2011, Knowl. Based Syst..
[15] Jiasen Lu,et al. Assessment of the sensitivity and specificity of oligonucleotide (50mer) microarrays. , 2000, Nucleic acids research.
[16] João Miguel da Costa Sousa,et al. Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients , 2013, Appl. Soft Comput..
[17] Seyed Mohammad Mirjalili,et al. The Ant Lion Optimizer , 2015, Adv. Eng. Softw..
[18] Ratna Babu Chinnam,et al. mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification , 2011, Inf. Sci..
[19] Hongnian Yu,et al. Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition , 2015, Expert Syst. Appl..
[20] Cheng-Lung Huang,et al. A GA-based feature selection and parameters optimizationfor support vector machines , 2006, Expert Syst. Appl..
[21] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[22] Dun Liu,et al. Incremental updating approximations in dominance-based rough sets approach under the variation of the attribute set , 2013, Knowl. Based Syst..
[23] Jean Yee Hwa Yang,et al. Gene-gene interaction filtering with ensemble of filters , 2011, BMC Bioinformatics.
[24] Zulaiha Ali Othman,et al. Metaheuristic approach for an enhanced mRMR filter method for classification using drug response microarray data , 2017, Expert Syst. Appl..
[25] Kevin M. Passino,et al. Biomimicry of bacterial foraging for distributed optimization and control , 2002 .
[26] Alpaslan Duysak,et al. Cross grouping strategy based 2DPCA method for face recognition , 2015, Appl. Soft Comput..
[27] 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.
[28] Xin-She Yang,et al. Bat algorithm: literature review and applications , 2013, Int. J. Bio Inspired Comput..
[29] Gang Wang,et al. A novel bacterial foraging optimization algorithm for feature selection , 2017, Expert Syst. Appl..
[30] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[31] Dana Kulic,et al. An evaluation of classifier-specific filter measure performance for feature selection , 2015, Pattern Recognit..
[32] Alexandr Katrutsa,et al. Stress test procedure for feature selection algorithms , 2015 .
[33] Driss Aboutajdine,et al. A two-stage gene selection scheme utilizing MRMR filter and GA wrapper , 2011, Knowledge and Information Systems.
[34] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[35] Haiping Lu,et al. MPCA: Multilinear Principal Component Analysis of Tensor Objects , 2008, IEEE Transactions on Neural Networks.
[36] Richard Nock,et al. A hybrid filter/wrapper approach of feature selection using information theory , 2002, Pattern Recognit..
[37] W. J. Conover,et al. On Methods of Handling Ties in the Wilcoxon Signed-Rank Test , 1973 .
[38] Isotta Chimenti,et al. The Potential of GMP-Compliant Platelet Lysate to Induce a Permissive State for Cardiovascular Transdifferentiation in Human Mediastinal Adipose Tissue-Derived Mesenchymal Stem Cells , 2015, BioMed research international.
[39] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[40] P. K. Dash,et al. An improved cuckoo search based extreme learning machine for medical data classification , 2015, Swarm Evol. Comput..
[41] Concha Bielza,et al. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data , 2013, Inf. Sci..
[42] Hala Alshamlan,et al. mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling , 2015, BioMed research international.
[43] Majid Komeili,et al. Local Feature Selection for Data Classification , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Jane Labadin,et al. Feature selection based on mutual information , 2015, 2015 9th International Conference on IT in Asia (CITA).
[45] Xin-She Yang,et al. A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest , 2014, Expert Syst. Appl..