DBLP: Tzu-Tsung Wong

	2012
j9		Tzu-Tsung Wong: A hybrid discretization method for naïve Bayesian classifiers. Pattern Recognition 45(6): 2321-2325 (2012)
	2011
j8		Tzu-Tsung Wong, Ding-Qun Chen: A gene selection method for microarray data based on risk genes. Expert Syst. Appl. 38(11): 14065-14071 (2011)
j7		Tzu-Tsung Wong, Liang-Hao Chang: Individual attribute prior setting methods for naïve Bayesian classifiers. Pattern Recognition 44(5): 1041-1047 (2011)
	2010
j6		Tzu-Tsung Wong: Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables. Computational Statistics & Data Analysis 54(7): 1756-1765 (2010)
j5		Tzu-Tsung Wong, Kuan-Liang Liu: A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection. Expert Syst. Appl. 37(3): 2144-2149 (2010)
	2009
j4		Tzu-Tsung Wong: Alternative prior assumptions for improving the performance of naïve Bayesian classifiers. Data Min. Knowl. Discov. 18(2): 183-213 (2009)
c2		Kuan-Liang Liu, Tzu-Tsung Wong, Gary Xie, Nicolas W. Hengartner: Improving Naive Bayesian Classifier for Metagenomic Reads Assignment. BIOCOMP 2009: 259-264
	2008
j3		Tzu-Tsung Wong, Ching-Han Hsu: Two-stage classification methods for microarray data. Expert Syst. Appl. 34(1): 375-383 (2008)
	2005
j2		Tzu-Tsung Wong, Kuo-Lung Tseng: Mining negative contrast sets from data with discrete attributes. Expert Syst. Appl. 29(2): 401-407 (2005)
	2003
j1		Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong: Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers. Machine Learning 53(3): 235-263 (2003)
	2000
c1		Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong: Why Discretization Works for Naive Bayesian Classifiers. ICML 2000: 399-406

2012

Tzu-Tsung Wong: A hybrid discretization method for naïve Bayesian classifiers. Pattern Recognition 45(6): 2321-2325 (2012)

2011

Tzu-Tsung Wong, Ding-Qun Chen: A gene selection method for microarray data based on risk genes. Expert Syst. Appl. 38(11): 14065-14071 (2011)

Tzu-Tsung Wong, Liang-Hao Chang: Individual attribute prior setting methods for naïve Bayesian classifiers. Pattern Recognition 44(5): 1041-1047 (2011)

2010

Tzu-Tsung Wong: Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables. Computational Statistics & Data Analysis 54(7): 1756-1765 (2010)

Tzu-Tsung Wong, Kuan-Liang Liu: A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection. Expert Syst. Appl. 37(3): 2144-2149 (2010)

2009

Tzu-Tsung Wong: Alternative prior assumptions for improving the performance of naïve Bayesian classifiers. Data Min. Knowl. Discov. 18(2): 183-213 (2009)

Kuan-Liang Liu, Tzu-Tsung Wong, Gary Xie, Nicolas W. Hengartner: Improving Naive Bayesian Classifier for Metagenomic Reads Assignment. BIOCOMP 2009: 259-264

2008

Tzu-Tsung Wong, Ching-Han Hsu: Two-stage classification methods for microarray data. Expert Syst. Appl. 34(1): 375-383 (2008)

2005

Tzu-Tsung Wong, Kuo-Lung Tseng: Mining negative contrast sets from data with discrete attributes. Expert Syst. Appl. 29(2): 401-407 (2005)

2003

Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong: Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers. Machine Learning 53(3): 235-263 (2003)

2000

Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong: Why Discretization Works for Naive Bayesian Classifiers. ICML 2000: 399-406

1	Liang-Hao Chang	[j7]
2	Ding-Qun Chen	[j8]
3	Nicolas W. Hengartner	[c2]
4	Ching-Han Hsu	[j3]
5	Chun-Nan Hsu	[j1] [c1]
6	Hung-Ju Huang	[j1] [c1]
7	Kuan-Liang Liu	[j5] [c2]
8	Kuo-Lung Tseng	[j2]
9	Gary Xie	[c2]

Tzu-Tsung Wong

Coauthor Index