| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An Analytic Center Machine
|
Trafalis, Theodore B.
|
|
2002
|
46 |
1-3 |
p. 203-223
|
artikel
|
| 2 |
A Probabilistic Framework for SVM Regression and Error Bar Estimation
|
Gao, J.B.
|
|
2002
|
46 |
1-3 |
p. 71-89
|
artikel
|
| 3 |
A Simple Decomposition Method for Support Vector Machines
|
Hsu, Chih-Wei
|
|
2002
|
46 |
1-3 |
p. 291-314
|
artikel
|
| 4 |
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
|
Sollich, Peter
|
|
2002
|
46 |
1-3 |
p. 21-52
|
artikel
|
| 5 |
Choosing Multiple Parameters for Support Vector Machines
|
Chapelle, Olivier
|
|
2002
|
46 |
1-3 |
p. 131-159
|
artikel
|
| 6 |
Convergence of a Generalized SMO Algorithm for SVM Classifier Design
|
Keerthi, S.S.
|
|
2002
|
46 |
1-3 |
p. 351-360
|
artikel
|
| 7 |
Editorial: Kernel Methods: Current Research and Future Directions
|
Cristianini, Nello
|
|
2002
|
46 |
1-3 |
p. 5-9
|
artikel
|
| 8 |
Efficient SVM Regression Training with SMO
|
Flake, Gary William
|
|
2002
|
46 |
1-3 |
p. 271-290
|
artikel
|
| 9 |
Feasible Direction Decomposition Algorithms for Training Support Vector Machines
|
Laskov, Pavel
|
|
2002
|
46 |
1-3 |
p. 315-349
|
artikel
|
| 10 |
Gene Selection for Cancer Classification using Support Vector Machines
|
Guyon, Isabelle
|
|
2002
|
46 |
1-3 |
p. 389-422
|
artikel
|
| 11 |
Hierarchical Learning in Polynomial Support Vector Machines
|
Risau-Gusman, Sebastian
|
|
2002
|
46 |
1-3 |
p. 53-70
|
artikel
|
| 12 |
Large Scale Kernel Regression via Linear Programming
|
Mangasarian, O.L.
|
|
2002
|
46 |
1-3 |
p. 255-269
|
artikel
|
| 13 |
Linear Programming Boosting via Column Generation
|
Demiriz, Ayhan
|
|
2002
|
46 |
1-3 |
p. 225-254
|
artikel
|
| 14 |
On a Connection between Kernel PCA and Metric Multidimensional Scaling
|
Williams, Christopher K.I.
|
|
2002
|
46 |
1-3 |
p. 11-19
|
artikel
|
| 15 |
On the Dual Formulation of Regularized Linear Systems with Convex Risks
|
Zhang, Tong
|
|
2002
|
46 |
1-3 |
p. 91-129
|
artikel
|
| 16 |
Support Vector Machines for Classification in Nonstandard Situations
|
Lin, Yi
|
|
2002
|
46 |
1-3 |
p. 191-202
|
artikel
|
| 17 |
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
|
Leopold, Edda
|
|
2002
|
46 |
1-3 |
p. 423-444
|
artikel
|
| 18 |
The Relaxed Online Maximum Margin Algorithm
|
Li, Yi
|
|
2002
|
46 |
1-3 |
p. 361-387
|
artikel
|
| 19 |
Training Invariant Support Vector Machines
|
Decoste, Dennis
|
|
2002
|
46 |
1-3 |
p. 161-190
|
artikel
|
Tijdschrift beschrijving