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JMLR
2010
162views more  JMLR 2010»
14 years 7 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
126
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MICCAI
2010
Springer
14 years 10 months ago
Value-Based Noise Reduction for Low-Dose Dual-Energy Computed Tomography
Abstract. We introduce a value-based noise reduction method for DualEnergy CT applications. It is based on joint intensity statistics estimated from high- and low-energy CT scans o...
Michael Balda, Björn Heismann, Joachim Horneg...
AAAI
2000
15 years 1 months ago
A Demand-Driven Algorithm for Generating Minimal Models
The task of generating minimal models of a knowledge base is a significant computational problem in artificial intelligence. This task is at the computational heart of diagnosis s...
Rachel Ben-Eliyahu-Zohary
ICSM
2007
IEEE
15 years 7 months ago
Computation of Static Execute After Relation with Applications to Software Maintenance
In this paper, we introduce Static Execute After (SEA) relationship among program components and present an efficient analysis algorithm. Our case studies show that SEA may appro...
Árpád Beszédes, Tamás ...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 7 days ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...