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Your search keyword '"Wang, Shuang-cheng"' showing total 28 results
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28 results on '"Wang, Shuang-cheng"'

6. Hybrid Data Clustering Based on Dependency Structure and Gibbs Sampling

Author

Wang, Shuang-Cheng, Li, Xiao-Lin, Tang, Hai-Yan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Sattar, Abdul, editor, and Kang, Byeong-ho, editor

Published
2006
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7. Learning Bayesian Networks Structures Based on Memory Binary Particle Swarm Optimization

Author

Li, Xiao-Lin, Wang, Shuang-Cheng, He, Xiang-Dong, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Tzai-Der, editor, Li, Xiaodong, editor, Chen, Shu-Heng, editor, Wang, Xufa, editor, Abbass, Hussein, editor, Iba, Hitoshi, editor, Chen, Guo-Liang, editor, and Yao, Xin, editor

Published
2006
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8. Learning Bayesian Networks Structure with Continuous Variables

Author

Wang, Shuang-Cheng, Li, Xiao-Lin, Tang, Hai-Yan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Li, Xue, editor, Zaïane, Osmar R., editor, and Li, Zhanhuai, editor

Published
2006
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26. Research of full Bayesian classifiers based on tridiagonal matrix.

Author

LENG Cui-ping, WANG Shuang-cheng, and DU Rui-ie

Abstract

Naive Bayes classifiers with continuous attributes can not make full used of dependency information between attributes. And in their dependency extension, it is difficult to calculate the inverse and the determinant of the high-order covariance matrix. To solve the dilemma, combining the tridiagonal matrix and multivariate Gaussian function can help build the full Bayesian classifiers with continuous attributes. And introduced smoothing parameters to tridiagonal matrix, which can contribute to the classifiers optimization. Experimental results resulting from using UCI data show that the optimized classifiers with continuous attributes have good classification accuracy. [ABSTRACT FROM AUTHOR]

Published
2015
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28. Learning Bayesian Networks Structure with Continuous Variables.

Author

Li, Xue, Zaïane, Osmar R., Li, Zhanhuai, Wang, Shuang-Cheng, Li, Xiao-Lin, and Tang, Hai-Yan

Abstract

In this paper, a new method for learning Bayesian networks structure with continuous variables is proposed. The continuous variables are discretized based on hybrid data clustering. The discrete values of a continuous variable are obtained by using father node structure and Gibbs sampling. Optimal dimension of discretized continuous variable is found by MDL principle to the Markov blanket. Dependent relationship is refined by optimization regulation to Bayesian network structure in iteration learning. [ABSTRACT FROM AUTHOR]

Published
2006
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