Fuzzy-Rough Cognitive Networks
暂无分享,去创建一个
Koen Vanhoof | Rafael Bello | Carlos Mosquera | Rafael Falcon | Isel Grau | Gonzalo Nápoles | K. Vanhoof | Rafael Bello | R. Falcon | G. Nápoles | I. Grau | Carlos Mosquera
[1] Barbara Di Eugenio,et al. Squibs and Discussions: The Kappa Statistic: A Second Look , 2004, CL.
[2] W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
[3] Robert Hecht-Nielsen,et al. Theory of the backpropagation neural network , 1989, International 1989 Joint Conference on Neural Networks.
[4] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[5] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[6] Chris Cornelis,et al. Fuzzy Rough Sets: from Theory into Practice , 2008, GrC 2008.
[7] Koen Vanhoof,et al. Rough Cognitive Networks , 2016, Knowl. Based Syst..
[8] S. Sathiya Keerthi,et al. Improvements to Platt's SMO Algorithm for SVM Classifier Design , 2001, Neural Computation.
[9] D. Dubois,et al. ROUGH FUZZY SETS AND FUZZY ROUGH SETS , 1990 .
[10] Harry Zhang,et al. A Fast Decision Tree Learning Algorithm , 2006, AAAI.
[11] Theresa Beaubouef,et al. Rough Sets , 2019, Lecture Notes in Computer Science.
[12] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[13] John G. Cleary,et al. K*: An Instance-based Learner Using and Entropic Distance Measure , 1995, ICML.
[14] Chris Cornelis,et al. A New Approach to Fuzzy-Rough Nearest Neighbour Classification , 2008, RSCTC.
[15] Koen Vanhoof,et al. On the convergence of sigmoid Fuzzy Cognitive Maps , 2016, Inf. Sci..
[16] Tony R. Martinez,et al. Improved Heterogeneous Distance Functions , 1996, J. Artif. Intell. Res..
[17] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[18] F. Wilcoxon. Individual Comparisons by Ranking Methods , 1945 .
[19] Koen Vanhoof,et al. A Granular Intrusion Detection System Using Rough Cognitive Networks , 2016, Recent Advances in Computational Intelligence in Defense and Security.
[20] Nikola K. Kasabov,et al. Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[21] Snjezana Soltic,et al. Knowledge Extraction from Evolving Spiking Neural Networks with Rank Order Population Coding , 2010, Int. J. Neural Syst..
[22] Eibe Frank,et al. Logistic Model Trees , 2003, Machine Learning.
[23] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[24] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[25] Jesús Alcalá-Fdez,et al. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework , 2011, J. Multiple Valued Log. Soft Comput..
[26] Yiyu Yao,et al. The superiority of three-way decisions in probabilistic rough set models , 2011, Inf. Sci..
[27] BenavoliAlessio,et al. Should we really use post-hoc tests based on mean-ranks? , 2016 .
[28] Nikola K. Kasabov,et al. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction , 2002, IEEE Trans. Fuzzy Syst..
[29] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[30] Chris Cornelis,et al. Fuzzy-rough nearest neighbour classification and prediction , 2011, Theor. Comput. Sci..
[31] Francisco Herrera,et al. Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study , 2015, Knowledge and Information Systems.
[32] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[33] Ron Kohavi,et al. The Power of Decision Tables , 1995, ECML.
[34] Koen Vanhoof,et al. Rough cognitive ensembles , 2017, Int. J. Approx. Reason..
[35] Anna Maria Radzikowska,et al. A comparative study of fuzzy rough sets , 2002, Fuzzy Sets Syst..
[36] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[37] D. Kibler,et al. Instance-based learning algorithms , 2004, Machine Learning.
[38] Yiyu Yao,et al. Three-Way Decision: An Interpretation of Rules in Rough Set Theory , 2009, RSKT.
[39] Haijia Shi. Best-first Decision Tree Learning , 2007 .
[40] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[41] Eibe Frank,et al. Speeding Up Logistic Model Tree Induction , 2005, PKDD.
[42] Yali Amit,et al. Shape Quantization and Recognition with Randomized Trees , 1997, Neural Computation.