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ADCM
2000
45views more  ADCM 2000»
13 years 8 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
INFORMATICALT
2000
126views more  INFORMATICALT 2000»
13 years 8 months ago
Adaptive Integration of Stiff ODE
The accuracy of adaptive integration algorithms for solving stiff ODE is investigated. The analysis is done by comparing the discrete and exact amplification factors of the equatio...
Raimondas Ciegis, Olga Suboc, Remigijus Ciegis
CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 7 months ago
Graphical Models Concepts in Compressed Sensing
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focu...
Andrea Montanari
NAR
2010
116views more  NAR 2010»
13 years 3 months ago
Freiburg RNA Tools: a web server integrating IntaRNA, ExpaRNA and LocARNA
The Freiburg RNA tools web server integrates three tools for the advanced analysis of RNA in a common webbased user interface. The tools IntaRNA, ExpaRNA, and LocARNA support the ...
Cameron Smith, Steffen Heyne, Andreas S. Richter, ...
ESANN
2006
13 years 10 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari