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147
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IJCNN
2006
IEEE
16 years 5 days ago
High-speed Bi-directional Function Approximation using Plausible Neural Networks
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen
147
Voted
ICTAI
2002
IEEE
15 years 11 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
161
Voted
AGP
1995
IEEE
15 years 9 months ago
Domain Independent Ask Approximation in CCP
The main difficulty in the formalization of a static analysis framework for CC programs is probably related to the correct approximation of the entailment relation between constrai...
Enea Zaffanella
AAAI
2010
15 years 7 months ago
Soundness Preserving Approximation for TBox Reasoning
Large scale ontology applications require efficient and robust description logic (DL) reasoning services. Expressive DLs usually have very high worst case complexity while tractab...
Yuan Ren, Jeff Z. Pan, Yuting Zhao
178
Voted
AGI
2008
15 years 7 months ago
A computational approximation to the AIXI model
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Sergey Pankov