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 |
44-46 |
1-2 |
p. 321-336 16 p. |
artikel |
2 |
Advanced support vector machines and kernel methods
|
Sánchez A, V.David |
|
2003 |
44-46 |
1-2 |
p. 5-20 16 p. |
artikel |
3 |
A geometric approach to support vector regression
|
Bi, Jinbo |
|
2003 |
44-46 |
1-2 |
p. 79-108 30 p. |
artikel |
4 |
Announcements of Conferences
|
|
|
2003 |
44-46 |
1-2 |
p. 413-415 3 p. |
artikel |
5 |
Application of neural networks for analyzing and encoding of fingerprints
|
Kravchinsky, L.V |
|
1992 |
44-46 |
1-2 |
p. 65-74 10 p. |
artikel |
6 |
Brightness image segmentation by a neuron-like network
|
Goltsev, Alexander |
|
1992 |
44-46 |
1-2 |
p. 9-15 7 p. |
artikel |
7 |
Calendar
|
|
|
1992 |
44-46 |
1-2 |
p. 117-120 4 p. |
artikel |
8 |
Calendar of Meetings
|
|
|
2003 |
44-46 |
1-2 |
p. 407-411 5 p. |
artikel |
9 |
Conference report Second international conference on microelectronics for neural networks (MICRONEURO '91)
|
Ramacher, Ulrich |
|
1992 |
44-46 |
1-2 |
p. 113-114 2 p. |
artikel |
10 |
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 |
44-46 |
1-2 |
p. 405-406 2 p. |
artikel |
11 |
Editorial Board
|
|
|
2003 |
44-46 |
1-2 |
p. I-III nvt p. |
artikel |
12 |
Editorial Board
|
|
|
1992 |
44-46 |
1-2 |
p. ii- 1 p. |
artikel |
13 |
Erratum to “Towards computational and robotic modelling of animal cognition and behavior”
|
Shin, Jonghan |
|
2003 |
44-46 |
1-2 |
p. 403- 1 p. |
artikel |
14 |
Feature vector selection and projection using kernels
|
Baudat, G. |
|
2003 |
44-46 |
1-2 |
p. 21-38 18 p. |
artikel |
15 |
Financial time series forecasting using support vector machines
|
Kim, Kyoung-jae |
|
2003 |
44-46 |
1-2 |
p. 307-319 13 p. |
artikel |
16 |
Finite Newton method for Lagrangian support vector machine classification
|
Fung, Glenn |
|
2003 |
44-46 |
1-2 |
p. 39-55 17 p. |
artikel |
17 |
Forthcoming papers
|
|
|
1992 |
44-46 |
1-2 |
p. 115- 1 p. |
artikel |
18 |
Hopfield-Tank neural net: Walsh to Fourier transform
|
Karras, D.A |
|
1992 |
44-46 |
1-2 |
p. 37-41 5 p. |
artikel |
19 |
Hyperparameter design criteria for support vector classifiers
|
Anguita, Davide |
|
2003 |
44-46 |
1-2 |
p. 109-134 26 p. |
artikel |
20 |
K-SVCR. A support vector machine for multi-class classification
|
Angulo, Cecilio |
|
2003 |
44-46 |
1-2 |
p. 57-77 21 p. |
artikel |
21 |
Long-lasting transients of activation in neural networks
|
van Ooyen, A |
|
1992 |
44-46 |
1-2 |
p. 75-87 13 p. |
artikel |
22 |
Model selection for support vector machine classification
|
Gold, Carl |
|
2003 |
44-46 |
1-2 |
p. 221-249 29 p. |
artikel |
23 |
Modular set of analog neural blocks
|
Švanda, Josef |
|
1992 |
44-46 |
1-2 |
p. 103-107 5 p. |
artikel |
24 |
N4: computing with neural receptive fields
|
Pedrycz, W. |
|
2003 |
44-46 |
1-2 |
p. 383-401 19 p. |
artikel |
25 |
Neural network feature maps for Chinese phonemes
|
Wu, P |
|
1992 |
44-46 |
1-2 |
p. 109-112 4 p. |
artikel |
26 |
Neural network learning for analog VLSI implementations of support vector machines: a survey
|
Anguita, Davide |
|
2003 |
44-46 |
1-2 |
p. 265-283 19 p. |
artikel |
27 |
Neural networks for power systems alarm handling
|
Ball, N |
|
1992 |
44-46 |
1-2 |
p. 5-8 4 p. |
artikel |
28 |
On problem-oriented kernel refining
|
Parrado-Hernández, E. |
|
2003 |
44-46 |
1-2 |
p. 135-150 16 p. |
artikel |
29 |
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks
|
Igel, Christian |
|
2003 |
44-46 |
1-2 |
p. 347-361 15 p. |
artikel |
30 |
Parallel Hopfield machine
|
Pavlík, Petr |
|
1992 |
44-46 |
1-2 |
p. 89-91 3 p. |
artikel |
31 |
Recurrent pi-sigma networks for DPCM image coding
|
Hussain, A.J. |
|
2003 |
44-46 |
1-2 |
p. 363-382 20 p. |
artikel |
32 |
Scanning the special issue on NEURONET'90 (II)
|
David Sánchez A, V |
|
1992 |
44-46 |
1-2 |
p. 1-3 3 p. |
artikel |
33 |
Special issue on support vector machines
|
Campbell, Colin |
|
2003 |
44-46 |
1-2 |
p. 1-3 3 p. |
artikel |
34 |
Speeding up backpropagation training on a hypercube computer
|
Kerckhoffs, E.J.H |
|
1992 |
44-46 |
1-2 |
p. 43-63 21 p. |
artikel |
35 |
Spreading activation methods in information retrieval — A connectionist approach
|
Húsek, Dušan |
|
1992 |
44-46 |
1-2 |
p. 31-36 6 p. |
artikel |
36 |
Supporting supervised learning by self-organization
|
Hrycej, Tomas |
|
1992 |
44-46 |
1-2 |
p. 17-30 14 p. |
artikel |
37 |
Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection
|
Norinder, Ulf |
|
2003 |
44-46 |
1-2 |
p. 337-346 10 p. |
artikel |
38 |
Support vector regression as a signal discriminator in high energy physics
|
Whiteson, D.O. |
|
2003 |
44-46 |
1-2 |
p. 251-264 14 p. |
artikel |
39 |
SVM regression through variational methods and its sequential implementation
|
Gao, J.B. |
|
2003 |
44-46 |
1-2 |
p. 151-167 17 p. |
artikel |
40 |
The model of a neural network visual preprocessor
|
Rybak, Ilya A |
|
1992 |
44-46 |
1-2 |
p. 93-102 10 p. |
artikel |
41 |
The support vector machine under test
|
Meyer, David |
|
2003 |
44-46 |
1-2 |
p. 169-186 18 p. |
artikel |
42 |
Uniqueness theorems for kernel methods
|
Burges, Christopher J.C. |
|
2003 |
44-46 |
1-2 |
p. 187-220 34 p. |
artikel |
43 |
Volatility forecasting from multiscale and high-dimensional market data
|
Gavrishchaka, Valeriy V. |
|
2003 |
44-46 |
1-2 |
p. 285-305 21 p. |
artikel |