Zhifei Shao

Publication Activity (10 Years)

Years Active: 2012-2016
Publications (10 Years): 3

Top Topics

User Intervention

Ridge Regression

Model Selection

Feedforward Neural Networks

Top Venues

IEEE Trans. Cybern.

Publications

Zhifei Shao, Meng Joo Er
Efficient Leave-One-Out Cross-Validation-based Regularized Extreme Learning Machine. Neurocomputing 194 (2016)
Zhifei Shao, Meng Joo Er
An online sequential learning algorithm for regularized Extreme Learning Machine. Neurocomputing 173 (2016)
Zhifei Shao, Meng Joo Er, Ning Wang
An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention. IEEE Trans. Cybern. 46 (8) (2016)
Zhifei Shao, Meng Joo Er, Ning Wang
An effective semi-cross-validation model selection method for extreme learning machine with ridge regression. Neurocomputing 151 (2015)
Jacek Szczypta, Krystian Lapa, Zhifei Shao
Aspects of the Selection of the Structure and Parameters of Controllers Using Selected Population Based Algorithms. ICAISC (1) (2014)
Marcin Wozniak, Wojciech M. Kempa, Marcin Gabryel, Robert K. Nowicki, Zhifei Shao
On Applying Evolutionary Computation Methods to Optimization of Vacation Cycle Costs in Finite-Buffer Queue. ICAISC (1) (2014)
Meng Joo Er, Zhifei Shao, Ning Wang
A fast and effective Extreme learning machine algorithm without tuning. IJCNN (2014)
Zhifei Shao, Meng Joo Er, Ning Wang
Robust incremental extreme learning machine. ICARCV (2014)
Meng Joo Er, Zhifei Shao, Ning Wang
A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression. ISNN (1) (2013)
Meng Joo Er, Zhifei Shao, Ning Wang
A systematic method to guide the choice of ridge parameter in ridge extreme learning machine. ICCA (2013)
Zhifei Shao, Meng Joo Er, Guang-Bin Huang
Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning. ICARCV (2012)
Zhifei Shao, Meng Joo Er
A survey of inverse reinforcement learning techniques. Int. J. Intell. Comput. Cybern. 5 (3) (2012)
Zhifei Shao, Meng Joo Er
A review of inverse reinforcement learning theory and recent advances. IEEE Congress on Evolutionary Computation (2012)