Zhifei Shao

According to our database1, Zhifei Shao authored at least 13 papers between 2012 and 2016.

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

Timeline

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Links

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Bibliography

2016
An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention.
IEEE Trans. Cybern., 2016

Efficient Leave-One-Out Cross-Validation-based Regularized Extreme Learning Machine.
Neurocomputing, 2016

An online sequential learning algorithm for regularized Extreme Learning Machine.
Neurocomputing, 2016

2015
An effective semi-cross-validation model selection method for extreme learning machine with ridge regression.
Neurocomputing, 2015

2014
A fast and effective Extreme learning machine algorithm without tuning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Robust incremental extreme learning machine.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

On Applying Evolutionary Computation Methods to Optimization of Vacation Cycle Costs in Finite-Buffer Queue.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Aspects of the Selection of the Structure and Parameters of Controllers Using Selected Population Based Algorithms.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

A systematic method to guide the choice of ridge parameter in ridge extreme learning machine.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2012
A survey of inverse reinforcement learning techniques.
Int. J. Intell. Comput. Cybern., 2012

Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

A review of inverse reinforcement learning theory and recent advances.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012


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