LP and QP based learning from empirical data

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2001, Pages 2451-2455

  Kecman, V ^a   Arthanari, T ^a   Hadzic, I ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; LEARNING ALGORITHMS; LINEAR PROGRAMMING; NEURAL NETWORKS; QUADRATIC PROGRAMMING; REGRESSION ANALYSIS;

NONLINEAR REGRESSION; SUPPORT VECTOR MACHINES;

LEARNING SYSTEMS;

EID: 0034877716     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Combining support vector and mathematical programming methods for induction
2. Optimal estimation of executive compensation by linear programming
3. Note on a paper by Zuhovickii concerning the Chebyshev problem for linear equations
4. Roger Joseph Boscovich and the combination of observations
5. Classification on proximity data with LP-machines
6. Learning from experimental data by linear programming selected support vectors
7. Learning from data by linear programming
8. Learning and soft computing, SVM, NN, and FLS
9. Learning and soft computing, SVM, NN, and FLS
10. Support vectors selection by linear programming
11. An application of linear programming to curve fitting
12. Linear and nonlinear separation of patterns by linear programming
13. Semiparametric support vector and linear programming machines
14. Linear programs for automatic accuracy control in regression
15. Note on Jordan elimination linear programming and Chebyshev approximation
16. Support vector density estimation
17. Building neural networks through linear programming