Tzu-Tsung Wong

According to our database, Tzu-Tsung Wong authored at least 22 papers between 1998 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets.

Tzu-Tsung Wong

IEEE Trans. Knowl. Data Eng., 2022

2021

Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data.

Tzu-Tsung Wong, Hsing-Chen Tsai

Knowl. Based Syst., 2021

2020

Reliable Accuracy Estimates from k-Fold Cross Validation.

Tzu-Tsung Wong, Po-Yang Yeh

IEEE Trans. Knowl. Data Eng., 2020

Hybrid classification algorithms based on instance filtering.

Tzu-Tsung Wong, Nai-Yu Yang, Guo-Hong Chen

Inf. Sci., 2020

2017

Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation.

Tzu-Tsung Wong, Nai-Yu Yang

IEEE Trans. Knowl. Data Eng., 2017

Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets.

Tzu-Tsung Wong

Pattern Recognit., 2017

2016

An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models.

Tzu-Tsung Wong, Chao-Rui Liu

Pattern Recognit., 2016

2015

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation.

Tzu-Tsung Wong

Pattern Recognit., 2015

2014

Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification.

Tzu-Tsung Wong

Data Min. Knowl. Discov., 2014

2013

Naïve Bayesian Classifiers with Multinomial Models for rRNA Taxonomic Assignment.

Kuan-Liang Liu, Tzu-Tsung Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012

A hybrid discretization method for naïve Bayesian classifiers.

Tzu-Tsung Wong

Pattern Recognit., 2012

2011

Individual attribute prior setting methods for naïve Bayesian classifiers.

Tzu-Tsung Wong, Liang-Hao Chang

Pattern Recognit., 2011

A gene selection method for microarray data based on risk genes.

Tzu-Tsung Wong, Ding-Qun Chen

Expert Syst. Appl., 2011

2010

A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection.

Tzu-Tsung Wong, Kuan-Liang Liu

Expert Syst. Appl., 2010

Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables.

Tzu-Tsung Wong

Comput. Stat. Data Anal., 2010

2009

Alternative prior assumptions for improving the performance of naïve Bayesian classifiers.

Tzu-Tsung Wong

Data Min. Knowl. Discov., 2009

Improving Naive Bayesian Classifier for Metagenomic Reads Assignment.

Kuan-Liang Liu, Tzu-Tsung Wong, Gary Xie, Nicolas W. Hengartner

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008

Two-stage classification methods for microarray data.

Tzu-Tsung Wong, Ching-Han Hsu

Expert Syst. Appl., 2008

2005

Mining negative contrast sets from data with discrete attributes.

Tzu-Tsung Wong, Kuo-Lung Tseng

Expert Syst. Appl., 2005

2003

Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.

Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong

Mach. Learn., 2003

2000

Why Discretization Works for Naive Bayesian Classifiers.

Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998

Generalized Dirichlet distribution in Bayesian analysis.

Tzu-Tsung Wong

Appl. Math. Comput., 1998