Ting Wang

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China
  • Tsinghua University, Wuxi Research Institute of Applied Technologies, Research Center of Web Information and Social Management, China
  • Xi'an Jiaotong-Liverpool University, Department of Computer Science and Software Engineering, Suzhou, China (former)
  • University of Liverpool, Department of Computer Science, UK (PhD 2013)


According to our database1, Ting Wang authored at least 10 papers between 2012 and 2016.

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Timeline

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Bibliography

2016
Integrated feature preprocessing for classification based on neural incremental attribute learning.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance.
Symmetry, 2015

Neural Incremental Attribute Learning in Groups.
Int. J. Comput. Intell. Syst., 2015

Regression based on neural incremental attribute learning with correlation-based feature ordering.
Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Linear Feature Sensibility for Output Partitioning in Ordered Neural Incremental Attribute Learning.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

2014
Optimized Neural Incremental Attribute Learning for Classification Based on Statistical discriminability.
Int. J. Comput. Intell. Appl., 2014

Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning.
Int. J. Appl. Evol. Comput., 2014

2013
Statistical feature ordering for neural-based incremental attribute learning.
PhD thesis, 2013

2012
Evolving Linear Discriminant in a Continuously Growing Dimensional Space for Incremental Attribute Learning.
Proceedings of the Network and Parallel Computing, 9th IFIP International Conference, 2012

Entropic Feature Discrimination Ability for Pattern Classification Based on Neural IAL.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012


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