Liangxiao Jiang

发表

An Empirical Study on Multi-instance Learning

Sisi Chen, Liangxiao Jiang, 2012 .

Bayesian Citation-KNN with distance weighting

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2014, Int. J. Mach. Learn. Cybern..

One Dependence Augmented Naive Bayes

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2005, ADMA.

Instance Cloning Local Naive Bayes

Liangxiao Jiang, Harry Zhang, Jiang Su, 2005, Canadian Conference on AI.

Learning Naive Bayes for Probability Estimation by Feature Selection

Liangxiao Jiang, Harry Zhang, Liangxiao Jiang, 2006, Canadian Conference on AI.

Noise filtering to improve data and model quality for crowdsourcing

Victor S. Sheng, Hongwei Li, Liangxiao Jiang, 2016, Knowl. Based Syst..

Naive Bayes for value difference metric

Hongwei Li, Liangxiao Jiang, Chaoqun Li, 2014, Frontiers of Computer Science.

An Empirical Study on Class Probability Estimates in Decision Tree Learning

Liangxiao Jiang, Chaoqun Li, Chaoqun Li, 2011, J. Softw..

Attribute Value Weighted Average of One-Dependence Estimators

Liangxiao Jiang, Dianhong Wang, Liangjun Yu, 2017, Entropy.

A METHOD FOR ATTRIBUTE REDUCTION USING ROUGH SET THEORY AND IMPROVED PARTICLE SWARM OPTIMIZATION

Liangxiao Jiang, Dianhong Wang, Xingwen Liu, 2011 .

Random one-dependence estimators

Liangxiao Jiang, Liangxiao Jiang, 2011, Pattern Recognit. Lett..

Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

Learning random forests for ranking

Liangxiao Jiang, Liangxiao Jiang, 2011, Frontiers of Computer Science in China.

Augmenting naive Bayes for ranking

Liangxiao Jiang, Harry Zhang, Jiang Su, 2005, ICML.

Learning k-Nearest Neighbor Naive Bayes for Ranking

Liangxiao Jiang, Harry Zhang, Jiang Su, 2005, ADMA.

Attribute and instance weighted naive Bayes

Liangxiao Jiang, Huan Zhang, Liangjun Yu, 2021, Pattern Recognit..

Finding time series discord based on bit representation clustering

Zongda Wu, Yuanzhen Wang, Liangxiao Jiang, 2013, Knowl. Based Syst..

Learning Instance Weighted Naive Bayes from labeled and unlabeled data

Liangxiao Jiang, Liangxiao Jiang, 2011, Journal of Intelligent Information Systems.

A differential evolution-based method for class-imbalanced cost-sensitive learning

Liangxiao Jiang, Chen Qiu, Ganggang Kong, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

K-Distributions: A New Algorithm for Clustering Categorical Data

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2009, ICIC.

A Novel Bayes Model: Hidden Naive Bayes

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2009, IEEE Transactions on Knowledge and Data Engineering.

Learning Locally Weighted C4.4 for Class Probability Estimation

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2007, Discovery Science.

A discriminative model selection approach and its application to text classification

Liangxiao Jiang, Chaoqun Li, Lungan Zhang, 2019, Neural Computing and Applications.

Modified DFS-based term weighting scheme for text classification

Liangxiao Jiang, Chaoqun Li, Chen Long, 2021, Expert Syst. Appl..

A Correlation-Based Feature Weighting Filter for Naive Bayes

Jia Wu, Liangxiao Jiang, Chaoqun Li, 2019, IEEE Transactions on Knowledge and Data Engineering.

An Augmented Value Difference Measure

Liangxiao Jiang, Chaoqun Li, Liangxiao Jiang, 2013, Pattern Recognit. Lett..

C4.5 or Naive Bayes: A Discriminative Model Selection Approach

Liangxiao Jiang, Chaoqun Li, Lungan Zhang, 2016, ICANN.

Weight Adjusted Naive Bayes

Liangxiao Jiang, Dianhong Wang, Liangjun Yu, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Learning Tree Augmented Naive Bayes for Ranking

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2005, DASFAA.

Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination

Liangxiao Jiang, Chaoqun Li, Liangxiao Jiang, 2011, J. Comput..

An Improved Attribute Selection Measure for Decision Tree Induction

Liangxiao Jiang, Dianhong Wang, Liangxiao Jiang, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

Naive Bayes text classifiers: a locally weighted learning approach

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2013, J. Exp. Theor. Artif. Intell..

A Combined Classification Algorithm Based on C4.5 and NB

Jian Zhu, Jia Wu, Liangxiao Jiang, 2008, ISICA.

Differential Evolution-Based Weighted Majority Voting for Crowdsourcing

Hao Zhang, Liangxiao Jiang, Wenqiang Xu, 2018, PRICAI.

Beyond accuracy: Learning selective Bayesian classifiers with minimal test cost

Liangxiao Jiang, Chaoqun Li, Ganggang Kong, 2016, Pattern Recognit. Lett..

Class-specific attribute weighted naive Bayes

Liangxiao Jiang, Dianhong Wang, Liangjun Yu, 2019, Pattern Recognit..

A novel method for inducing ID3 decision trees based on variable precision rough set

Fenxiong Chen, Liangxiao Jiang, Dianhong Wang, 2011, 2011 Seventh International Conference on Natural Computation.

Toward value difference metric with attribute weighting

Peng Zhang, Jia Wu, Hongwei Li, 2017, Knowledge and Information Systems.

Resampling-based noise correction for crowdsourcing

Liangxiao Jiang, Wenqiang Xu, Chaoqun Li, 2020, J. Exp. Theor. Artif. Intell..

A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers

Shasha Wang, Liangxiao Jiang, Chaoqun Li, 2014, ICANN.

Hidden Naive Bayes

Liangxiao Jiang, Harry Zhang, Jiang Su, 2005, AAAI.

Using Instance cloning to Improve Naive Bayes for Ranking

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2008, Int. J. Pattern Recognit. Artif. Intell..

Improving Tree augmented Naive Bayes for class probability estimation

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2012, Knowl. Based Syst..

Toward naive Bayes with attribute value weighting

Liangxiao Jiang, Dianhong Wang, Liangjun Yu, 2019, Neural Computing and Applications.

Cost-sensitive Bayesian network classifiers

Shasha Wang, Liangxiao Jiang, Chaoqun Li, 2014, Pattern Recognit. Lett..

Not so greedy: Randomly Selected Naive Bayes

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2012, Expert Syst. Appl..

Randomly selected decision tree for test-cost sensitive learning

Liangxiao Jiang, Chaoqun Li, Chen Qiu, 2017, Appl. Soft Comput..

Lazy Averaged One-Dependence Estimators

Liangxiao Jiang, Harry Zhang, 2006, Canadian Conference on AI.

Structure extended multinomial naive Bayes

Shasha Wang, Liangxiao Jiang, Chaoqun Li, 2016, Inf. Sci..

Adapting naive Bayes tree for text classification

Shasha Wang, Liangxiao Jiang, Chaoqun Li, 2015, Knowledge and Information Systems.

Local value difference metric

Hongwei Li, Liangxiao Jiang, Chaoqun Li, 2014, Pattern Recognit. Lett..

Learning decision tree for ranking

Liangxiao Jiang, Zhihua Cai, Chaoqun Li, 2009, Knowledge and Information Systems.

Learning lazy naive Bayesian classifiers for ranking

Liangxiao Jiang, Yuanyuan Guo, Liangxiao Jiang, 2005, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05).

Survey of Improving Naive Bayes for Classification

Xuesong Yan, Liangxiao Jiang, Zhihua Cai, 2007, ADMA.

Decision Tree with Better Class Probability Estimation

Liangxiao Jiang, Zhihua Cai, Chaoqun Li, 2009, Int. J. Pattern Recognit. Artif. Intell..

Two feature weighting approaches for naive Bayes text classifiers

Liangxiao Jiang, Chaoqun Li, Lungan Zhang, 2016, Knowl. Based Syst..

Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2006, FSKD.

Attribute Weighted Value Difference Metric

Shasha Wang, Hongwei Li, Liangxiao Jiang, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

A Novel One-dependence Estimator Based on Multi-parents

Liangxiao Jiang, Zhihua Cai, Sifa Zhang, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

Weighted average of one-dependence estimators†

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2012, J. Exp. Theor. Artif. Intell..

Using Locally Weighted Learning to Improve SMOreg for Regression

Liangxiao Jiang, Chaoqun Li, 2006, PRICAI.

Rough Set Approach to Multivariate Decision Trees Inducing

Liangxiao Jiang, Dianhong Wang, Yongguang Zhao, 2012, J. Comput..

Deep feature weighting for naive Bayes and its application to text classification

Shasha Wang, Liangxiao Jiang, Chaoqun Li, 2016, Eng. Appl. Artif. Intell..

Weightily Averaged One-Dependence Estimators

Liangxiao Jiang, Harry Zhang, 2006, PRICAI.

Not always simple classification: Learning SuperParent for class probability estimation

Liangxiao Jiang, Chaoqun Li, Chen Qiu, 2015, Expert Syst. Appl..

Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate

Liangxiao Jiang, Zhihua Cai, Dianhong Wang, 2007, ICIC.

Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing

Liangxiao Jiang, Zhihua Cai, Chen Qiu, 2018, PRICAI.

Learning instance greedily cloning naive Bayes for ranking

Liangxiao Jiang, Harry Zhang, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

An attribute value frequency-based instance weighting filter for naive Bayes

Liangxiao Jiang, Liangjun Yu, Wenqiang Xu, 2018, J. Exp. Theor. Artif. Intell..

A Novel Distance Function: frequency difference Metric

Liangxiao Jiang, Zhihua Cai, Harry Zhang, 2014, Int. J. Pattern Recognit. Artif. Intell..

Improving data and model quality in crowdsourcing using cross-entropy-based noise correction

Liangxiao Jiang, Wenqiang Xu, Chaoqun Li, 2021, Inf. Sci..

Augmented Naive Bayes Based on Evolutional Strategy

Liangxiao Jiang, Zhihua Cai, Sifa Zhang, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

Collaboratively weighted naive Bayes

Liangxiao Jiang, Chaoqun Li, Huan Zhang, 2021, Knowledge and Information Systems.

Using modified term frequency to improve term weighting for text classification

Liangxiao Jiang, Chaoqun Li, Long Chen, 2021, Eng. Appl. Artif. Intell..

Fine-grained attribute weighted inverted specific-class distance measure for nominal attributes

Liangxiao Jiang, Dianhong Wang, Mohammadreza Rahimi, 2021, Inf. Sci..

Differential evolution-based weighted soft majority voting for crowdsourcing

Liangxiao Jiang, Chaoqun Li, Fangna Tao, 2021, Eng. Appl. Artif. Intell..

CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection

Liangxiao Jiang, Chaoqun Li, Huan Zhang, 2021, Expert Syst. Appl..

Improving data and model quality in crowdsourcing using co-training-based noise correction

Liangxiao Jiang, Chaoqun Li, Yu Dong, 2021, Inf. Sci..

Using locally weighted learning to improve SMOreg for regression

Liangxiao Jiang, Chaoqun Li, 2006 .

Enhancing the performance of differential evolution using orthogonal design method

Wenyin Gong, Liangxiao Jiang, Zhihua Cai, 2008, Appl. Math. Comput..