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» Ontological Framework for Approximation
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ICTAI
2002
IEEE
15 years 10 months ago
Function Approximation Using Robust Wavelet Neural Networks
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
Sheng-Tun Li, Shu-Ching Chen
CONTEXT
2001
Springer
15 years 9 months ago
On the Dimensions of Context Dependence: Partiality, Approximation, and Perspective
Abstract. In this paper we propose to re-read the past work on formalizing context as the search for a logic of the relationships between partial, approximate, and perspectival the...
Massimo Benerecetti, Paolo Bouquet, Chiara Ghidini
ESA
2006
Springer
103views Algorithms» more  ESA 2006»
15 years 8 months ago
Greedy in Approximation Algorithms
The objective of this paper is to characterize classes of problems for which a greedy algorithm finds solutions provably close to optimum. To that end, we introduce the notion of k...
Julián Mestre
DAGSTUHL
2007
15 years 6 months ago
Approximating Solution Structure
Approximations can aim at having close to optimal value or, alternatively, they can aim at structurally resembling an optimal solution. Whereas value-approximation has been extensi...
Iris van Rooij, Matthew Hamilton, Moritz Müll...
COMPUTING
2004
88views more  COMPUTING 2004»
15 years 5 months ago
Spline Curve Approximation and Design by Optimal Control Over the Knots
In [1] Optimal Control methods over re-parametrization for curve and surface design were introduced. The advantage of Optimal Control over Global Minimization such as in [17] is t...
Rony Goldenthal, Michel Bercovier