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» An Object Model for Multiprogramming
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ESANN
2007
15 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
NIPS
2008
15 years 6 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
USITS
2001
15 years 6 months ago
CANS: Composable, Adaptive Network Services Infrastructure
Ubiquitous access to sophisticated internet services from diverse end devices across heterogeneous networks requires the injection of additional functionality into the network to ...
Xiaodong Fu, Weisong Shi, Anatoly Akkerman, Vijay ...
DLOG
2000
15 years 6 months ago
Adapting Optimization Techniques to Description Logics with Concrete Domains
In this paper, we demonstrate that the main standard optimization techniques dependency directed backtracking and model merging can be adapted to description logics with concrete ...
Anni-Yasmin Turhan, Volker Haarslev
202
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APVIS
2009
15 years 6 months ago
Visualization of signal transduction processes in the crowded environment of the cell
In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization tec...
Martin Falk, Michael Klann, Matthias Reuss, Thomas...
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