Yong-Ping Zhao

According to our database1, Yong-Ping Zhao authored at least 19 papers between 2010 and 2018.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2018
Feature selection of generalized extreme learning machine for regression problems.
Neurocomputing, 2018

Sparse kernel minimum squared error using Householder transformation and givens rotation.
Appl. Intell., 2018

2017
A method of combining forward with backward greedy algorithms for sparse approximation to KMSE.
Soft Comput., 2017

Gram-Schmidt process based incremental extreme learning machine.
Neurocomputing, 2017

2016
Parsimonious kernel extreme learning machine in primal via Cholesky factorization.
Neural Networks, 2016

Improvements on parsimonious extreme learning machine using recursive orthogonal least squares.
Neurocomputing, 2016

2015
A pruning method of refining recursive reduced least squares support vector regression.
Inf. Sci., 2015

Parsimonious regularized extreme learning machine based on orthogonal transformation.
Neurocomputing, 2015

Householder transformation based sparse least squares support vector regression.
Neurocomputing, 2015

An accelerating scheme for destructive parsimonious extreme learning machine.
Neurocomputing, 2015

2014
Incremental kernel minimum squared error (KMSE).
Inf. Sci., 2014

2013
Twin least squares support vector regression.
Neurocomputing, 2013

2012
Online independent reduced least squares support vector regression.
Inf. Sci., 2012

An improved recursive reduced least squares support vector regression.
Neurocomputing, 2012

2011
Pruning least objective contribution in KMSE.
Neurocomputing, 2011

A fast method of feature extraction for kernel MSE.
Neurocomputing, 2011

Multikernel semiparametric linear programming support vector regression.
Expert Syst. Appl., 2011

2010
Reducing samples for accelerating multikernel semiparametric support vector regression.
Expert Syst. Appl., 2010

Robust truncated support vector regression.
Expert Syst. Appl., 2010


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