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» Smoothing of Chemical Analysis Data by Neural Networks
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NIPS
1997
13 years 8 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
GIS
2003
ACM
14 years 8 months ago
Attribute space visualization of demographic change
This paper introduces an approach for closer integration of selforganizing maps into the visualization of spatio-temporal phenomena in GIS. It is proposed to provide a more explic...
André Skupin, Ron Hagelman
CMG
2001
13 years 8 months ago
Software That Can Think and Do
Rapid advances in research and technology now allow data analysis and modeling of extremely complex systems. Methods from artificial intelligence (AI) such as Neural Networks have...
Bernard Domanski
INFOCOM
2009
IEEE
14 years 2 months ago
Network Coding Meets TCP
—We propose a mechanism that incorporates network coding into TCP with only minor changes to the protocol stack, thereby allowing incremental deployment. In our scheme, the sourc...
Jay Kumar Sundararajan, Devavrat Shah, Muriel M&ea...
CIKM
2010
Springer
13 years 4 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan