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» Time Series Prediction by Perturbed Fuzzy Model
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APGV
2008
ACM
164views Visualization» more  APGV 2008»
14 years 11 months ago
Quantifying usability in secure graphics: assessing the user costs of protecting 3D content
There is an increasing need for methods for secure dissemination of interactive 3D graphics content, providing protection for valuable 3D models while still allowing them to be wi...
Jiajun Zhu, Jonathan Z. Bakdash, David Koller, Tho...
BMCBI
2008
135views more  BMCBI 2008»
14 years 9 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
KES
2004
Springer
15 years 2 months ago
Fuzzy Kolmogorov's Network
A spline-based modification of the previously developed Neuro-Fuzzy Kolmogorov's Network (NFKN) is proposed. In order to improve the approximation accuracy, cubic B-splines ar...
Vitaliy Kolodyazhniy, Yevgeniy Bodyanskiy
ENGL
2007
204views more  ENGL 2007»
14 years 9 months ago
Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Pilar Gómez-Gil
MIAR
2006
IEEE
15 years 3 months ago
Pulsative Flow Segmentation in MRA Image Series by AR Modeling and EM Algorithm
Segmentation of CSF and pulsative blood flow, based on a single phase contrast MRA (PC-MRA) image can lead to imperfect classifications. In this paper, we present a novel automated...
Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Mas...