nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
|
Cao, L.J. |
|
2003 |
55 |
1-2 |
p. 321-336 16 p. |
artikel |
2 |
Advanced support vector machines and kernel methods
|
Sánchez A, V.David |
|
2003 |
55 |
1-2 |
p. 5-20 16 p. |
artikel |
3 |
A geometric approach to support vector regression
|
Bi, Jinbo |
|
2003 |
55 |
1-2 |
p. 79-108 30 p. |
artikel |
4 |
Announcements of Conferences
|
|
|
2003 |
55 |
1-2 |
p. 413-415 3 p. |
artikel |
5 |
Calendar of Meetings
|
|
|
2003 |
55 |
1-2 |
p. 407-411 5 p. |
artikel |
6 |
Corrigendum to “BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units” [Neurocomputing 51 (2003) 277–301]
|
Xu, Lei |
|
2003 |
55 |
1-2 |
p. 405-406 2 p. |
artikel |
7 |
Editorial Board
|
|
|
2003 |
55 |
1-2 |
p. I-III nvt p. |
artikel |
8 |
Erratum to “Towards computational and robotic modelling of animal cognition and behavior”
|
Shin, Jonghan |
|
2003 |
55 |
1-2 |
p. 403- 1 p. |
artikel |
9 |
Feature vector selection and projection using kernels
|
Baudat, G. |
|
2003 |
55 |
1-2 |
p. 21-38 18 p. |
artikel |
10 |
Financial time series forecasting using support vector machines
|
Kim, Kyoung-jae |
|
2003 |
55 |
1-2 |
p. 307-319 13 p. |
artikel |
11 |
Finite Newton method for Lagrangian support vector machine classification
|
Fung, Glenn |
|
2003 |
55 |
1-2 |
p. 39-55 17 p. |
artikel |
12 |
Hyperparameter design criteria for support vector classifiers
|
Anguita, Davide |
|
2003 |
55 |
1-2 |
p. 109-134 26 p. |
artikel |
13 |
K-SVCR. A support vector machine for multi-class classification
|
Angulo, Cecilio |
|
2003 |
55 |
1-2 |
p. 57-77 21 p. |
artikel |
14 |
Model selection for support vector machine classification
|
Gold, Carl |
|
2003 |
55 |
1-2 |
p. 221-249 29 p. |
artikel |
15 |
N4: computing with neural receptive fields
|
Pedrycz, W. |
|
2003 |
55 |
1-2 |
p. 383-401 19 p. |
artikel |
16 |
Neural network learning for analog VLSI implementations of support vector machines: a survey
|
Anguita, Davide |
|
2003 |
55 |
1-2 |
p. 265-283 19 p. |
artikel |
17 |
On problem-oriented kernel refining
|
Parrado-Hernández, E. |
|
2003 |
55 |
1-2 |
p. 135-150 16 p. |
artikel |
18 |
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks
|
Igel, Christian |
|
2003 |
55 |
1-2 |
p. 347-361 15 p. |
artikel |
19 |
Recurrent pi-sigma networks for DPCM image coding
|
Hussain, A.J. |
|
2003 |
55 |
1-2 |
p. 363-382 20 p. |
artikel |
20 |
Special issue on support vector machines
|
Campbell, Colin |
|
2003 |
55 |
1-2 |
p. 1-3 3 p. |
artikel |
21 |
Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection
|
Norinder, Ulf |
|
2003 |
55 |
1-2 |
p. 337-346 10 p. |
artikel |
22 |
Support vector regression as a signal discriminator in high energy physics
|
Whiteson, D.O. |
|
2003 |
55 |
1-2 |
p. 251-264 14 p. |
artikel |
23 |
SVM regression through variational methods and its sequential implementation
|
Gao, J.B. |
|
2003 |
55 |
1-2 |
p. 151-167 17 p. |
artikel |
24 |
The support vector machine under test
|
Meyer, David |
|
2003 |
55 |
1-2 |
p. 169-186 18 p. |
artikel |
25 |
Uniqueness theorems for kernel methods
|
Burges, Christopher J.C. |
|
2003 |
55 |
1-2 |
p. 187-220 34 p. |
artikel |
26 |
Volatility forecasting from multiscale and high-dimensional market data
|
Gavrishchaka, Valeriy V. |
|
2003 |
55 |
1-2 |
p. 285-305 21 p. |
artikel |