Dynamic ensemble extreme learning machine based on sample entropy
暂无分享,去创建一个
[1] Chee Kheong Siew,et al. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes , 2006, IEEE Transactions on Neural Networks.
[2] Han Wang,et al. Ensemble Based Extreme Learning Machine , 2010, IEEE Signal Processing Letters.
[3] Galina L. Rogova,et al. Combining the results of several neural network classifiers , 1994, Neural Networks.
[4] Xizhao Wang,et al. Upper integral network with extreme learning mechanism , 2011, Neurocomputing.
[5] Shuiping Gou,et al. Greedy optimization classifiers ensemble based on diversity , 2011, Pattern Recognit..
[6] Feilong Cao,et al. A study on effectiveness of extreme learning machine , 2011, Neurocomputing.
[7] Korris Fu-Lai Chung,et al. Positive and negative fuzzy rule system, extreme learning machine and image classification , 2011, Int. J. Mach. Learn. Cybern..
[8] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Sankar K. Pal,et al. Pattern Recognition: From Classical to Modern Approaches , 2001 .
[10] Xizhao Wang,et al. Induction of multiple fuzzy decision trees based on rough set technique , 2008, Inf. Sci..
[11] Nojun Kwak,et al. Feature extraction for classification problems and its application to face recognition , 2008, Pattern Recognit..
[12] Fabio Roli,et al. Multiple classifier systems for robust classifier design in adversarial environments , 2010, Int. J. Mach. Learn. Cybern..
[13] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[14] Narasimhan Sundararajan,et al. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks , 2006, IEEE Transactions on Neural Networks.
[15] Q. M. Jonathan Wu,et al. Human face recognition based on multidimensional PCA and extreme learning machine , 2011, Pattern Recognit..
[16] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[17] Wei Tang,et al. Ensembling neural networks: Many could be better than all , 2002, Artif. Intell..
[18] Xin Yao,et al. Diversity creation methods: a survey and categorisation , 2004, Inf. Fusion.
[19] Robert K. L. Gay,et al. Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning , 2009, IEEE Transactions on Neural Networks.
[20] Philip S. Yu,et al. Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.
[21] Guang-Bin Huang,et al. Convex Incremental Extreme Learning Machine , 2007 .
[22] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[23] Hongming Zhou,et al. Optimization method based extreme learning machine for classification , 2010, Neurocomputing.
[24] Dianhui Wang,et al. Extreme learning machines: a survey , 2011, Int. J. Mach. Learn. Cybern..
[25] Xi-Zhao Wang,et al. Improving Generalization of Fuzzy IF--THEN Rules by Maximizing Fuzzy Entropy , 2009, IEEE Transactions on Fuzzy Systems.
[26] Ping Li,et al. Dynamic Adaboost ensemble extreme learning machine , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).
[27] L. Kuncheva,et al. Combining classifiers: Soft computing solutions. , 2001 .
[28] Xizhao Wang,et al. Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction , 2012, IEEE Transactions on Knowledge and Data Engineering.
[29] Robert E. Schapire,et al. The strength of weak learnability , 1990, Mach. Learn..
[30] Ludmila I. Kuncheva,et al. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy , 2003, Machine Learning.
[31] Kevin W. Bowyer,et al. Combination of Multiple Classifiers Using Local Accuracy Estimates , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[32] Binu P. Chacko,et al. Handwritten character recognition using wavelet energy and extreme learning machine , 2012, Int. J. Mach. Learn. Cybern..
[33] Matthias Baumgarten,et al. Optimal model selection for posture recognition in home-based healthcare , 2011, Int. J. Mach. Learn. Cybern..
[34] Antonio J. Serrano,et al. BELM: Bayesian Extreme Learning Machine , 2011, IEEE Transactions on Neural Networks.
[35] Robert Sabourin,et al. From dynamic classifier selection to dynamic ensemble selection , 2008, Pattern Recognit..
[36] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[37] D. Serre. Matrices: Theory and Applications , 2002 .
[38] Jiri Matas,et al. On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[39] José David Martín-Guerrero,et al. Regularized extreme learning machine for regression problems , 2011, Neurocomputing.