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DATAMINE
2006
131views more  DATAMINE 2006»
13 years 7 months ago
A systematic approach to the assessment of fuzzy association rules
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
Didier Dubois, Eyke Hüllermeier, Henri Prade
SCALESPACE
2005
Springer
14 years 1 months ago
Relations Between Higher Order TV Regularization and Support Vector Regression
We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...
Gabriele Steidl, Stephan Didas, Julia Neumann
SIAMSC
2010
157views more  SIAMSC 2010»
13 years 6 months ago
Adaptive Time-Stepping for Incompressible Flow Part II: Navier--Stokes Equations
We outline a new class of robust and efficient methods for solving the Navier– Stokes equations. We describe a general solution strategy that has two basic building blocks: an im...
David A. Kay, Philip M. Gresho, David F. Griffiths...
CDC
2009
IEEE
177views Control Systems» more  CDC 2009»
13 years 8 months ago
Exponential stability region estimates for the State-Dependent Riccati Equation controllers
We investigate the nonlinear exponential stability of the State-Dependent Riccati Equation (SDRE)-based control. The SDRE technique is a nonlinear control method, which has emerged...
Insu Chang, Soon-Jo Chung
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 7 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang