Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pierre M. L. Drezet"'
Publikováno v:
International Journal of Control. 80:908-918
Generalized Fock spaces (GFS) were proposed some time ago as a general framework for non-linear system identification and signal analysis. Corresponding to a particular class of reproducing kernel Hubert spaces (RKHS) they provide a natural framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9c584eaeb819d6407c85a8abbaaa699
https://doi.org/10.1080/00207170701216303
https://doi.org/10.1080/00207170701216303
Publikováno v:
Advances in Space Research. 30:2181-2188
A novel technique for estimating the non-linear dynamic relationship between VB s and D st is presented. The method is demonstrated through forecasting on a six month data sample and found to give adequate performance, especially in storm regimes. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a6dc1e119b397a5e273e7df07cd474f
https://doi.org/10.1016/s0273-1177(02)80216-2
https://doi.org/10.1016/s0273-1177(02)80216-2
Publikováno v:
Pattern Recognition. 34:111-125
A new method of implementing Support Vector learning algorithms for classification and regression is presented which deals with problems of over-defined solutions and excessive complexity. Classification problems are solved with a minimum number of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c776fe3defbc29103599cd02b77fdae5
https://doi.org/10.1016/s0031-3203(99)00203-4
https://doi.org/10.1016/s0031-3203(99)00203-4
A new method to forecast the evolution of terrestrial magnetospheric dynamics and geomagnetic indices under the influence of the solar wind is presented. It is based on the derivation of an adaptive Volterra Series model of the dynamics from the anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa791a31da4642ce85d5b4b176a810e0
https://doi.org/10.1016/s0964-2749(02)80192-5
https://doi.org/10.1016/s0964-2749(02)80192-5
Publikováno v:
Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43422d71fdf1b1f10a7df7b081dcd138
https://doi.org/10.1142/9789812792488_0007
https://doi.org/10.1142/9789812792488_0007
Publikováno v:
Perspectives in Neural Computing ISBN: 9781852330057
Artificial Neural Networks in Biomedicine
Artificial Neural Networks in Biomedicine
We describe the development and testing of a number of intelligent decision support strategies for the cytodiagnosis of breast cancer. These strategies are compared with the performance of unaided humans and with each other. The merits of each system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f222e3c5769cf8d3d4678830d2df2d4
https://doi.org/10.1007/978-1-4471-0487-2_17
https://doi.org/10.1007/978-1-4471-0487-2_17
Publikováno v:
ECC
Support Vector Regression (SVR) is a flexible regression method, which can be applied directly to NARMAX system identification models. SVR is a one-step convex optimisation process which attempts to maximise generalisation performance. This paper com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::540d14af57a14c101c3ad8acba4dfbbc
https://doi.org/10.23919/ecc.1999.7099466
https://doi.org/10.23919/ecc.1999.7099466
Publikováno v:
IEE Colloquium Intelligent Methods in Healthcare and Medical Applications.
A method of automatically estimating the mitotic index of breast tissue samples is presented. The motivation for an automatic method is to minimise this time-consuming repetitive task demanded of experienced pathologists. The method used consists of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f28a19ef7747d1b2d26ce1f116a5a66b
https://doi.org/10.1049/ic:19981045
https://doi.org/10.1049/ic:19981045
Publikováno v:
UKACC International Conference on Control (CONTROL '98).
Support vector machines (SVM) are used for system identification of both linear and nonlinear dynamic systems. Discrete time linear models are used to illustrate parameter estimation and nonlinear models demonstrate model structure identification. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef14817052fb90d40c6e49da9a7b0c5d
https://doi.org/10.1049/cp:19980312
https://doi.org/10.1049/cp:19980312