Laisheng Wang

According to our database1, Laisheng Wang authored at least 24 papers between 2005 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Safe Screening Rules for Accelerating Twin Support Vector Machine Classification.
IEEE Trans. Neural Netw. Learning Syst., 2018

2016
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification.
Knowl. Based Syst., 2016

2014
Duality and saddle-point type optimality for interval-valued programming.
Optimization Letters, 2014

A Weighted Least Squares Twin Support Vector Machine.
J. Inf. Sci. Eng., 2014

A convex relaxation framework for a class of semi-supervised learning methods and its application in pattern recognition.
Eng. Appl. Artif. Intell., 2014

K-nearest neighbor-based weighted twin support vector regression.
Appl. Intell., 2014

2013
A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm.
Knowl. Based Syst., 2013

A Twin Multi-Class Classification Support Vector Machine.
Cognitive Computation, 2013

A class of semi-supervised support vector machines by DC programming.
Adv. Data Analysis and Classification, 2013

2012
A rough margin-based ν-twin support vector machine.
Neural Computing and Applications, 2012

A weighted twin support vector regression.
Knowl. Based Syst., 2012

2011
A dynamic attribute reduction algorithm based on 0-1 integer programming.
Knowl. Based Syst., 2011

Online multiple instance boosting for object detection.
Neurocomputing, 2011

2010
Rough Margin-Based Linear v Support Vector Machine.
JCIT, 2010

Simultaneous feature selection and classification via Minimax Probability Machine.
Int. J. Comput. Intell. Syst., 2010

2009
Time Series Prediction Based on Generalization Bounds for Support Vector Machine.
Proceedings of the Advances in Neural Networks, 2009

Classification Algorithm Based on Feature Selection and Samples Selection.
Proceedings of the Advances in Neural Networks, 2009

2008
Robust Object Detection Based on Decision Trees and a New Cascade Architecture.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007
A Simulated Annealing and 2DPCA Based Method for Face Recognition.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

Simultaneous Feature Selection and Classification via Semi-Supervised Models.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
Rough Set Theory-based Multi-class Decision Attribute Reduction Algorithm and Its Application.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

Fuzzy Comprehensive Evaluation Model based on Rough Set Theory.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
A modified clustering algorithm for data mining.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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